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Automotive Audio · pangzhenying2025 | DecimalAI

pangzhenying2025/automotive-audio

NewSkillScoreMaintained

Expert skill in active noise cancellation focusing on audio domain applications. Covers 40 topics across audio domain. Includes 40 skill files covering ASPICE Level 3, AUTOSAR 4.4, ISO 21434, ISO 26262.

scienceby pangzhenying2025

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Coding pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/pangzhenying2025-automotive-audio/SKILL.md

decimalai skills pull pangzhenying2025-automotive-audio --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/pangzhenying2025-automotive-audio/SKILL.md https://app.decimal.ai/s/pangzhenying2025-automotive-audio/SKILL.md

Raw file: /s/pangzhenying2025-automotive-audio/SKILL.md ↗ · machine-readable summary at /s/pangzhenying2025-automotive-audio.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 53d ago

No — -100% lift+151% tokens0% turns86% of whole cases pass with skill (19/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✓→✓	＝ Same ✓	196%	0%
case-05	✓→✓	＝ Same ✓	108%	0%
case-06	✓→✓	＝ Same ✓	201%	0%
case-07	✓→✓	＝ Same ✓	206%	0%
case-08	✓→✓	＝ Same ✓	225%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

pangzhenying2025 / hermes-automotive-skills

skills/automotive-audio/SKILL.md

View on GitHub ↗

License MITImported 8/2/2026Version v1

Skill contents

SKILL.md

Automotive Audio

40 skill files covering audio domain for automotive software engineering.

Applicable Standards

ASPICE Level 3
AUTOSAR 4.4
ISO 21434
ISO 26262

Use Cases

AUDIO system development
Active Noise Cancellation optimization
Production ECU implementation
Amplifier optimization
Sound Tuning optimization
Speakers optimization

Topics Covered

Active Noise Cancellation

active-noise-cancellation-001
active-noise-cancellation-002
active-noise-cancellation-003
active-noise-cancellation-004
active-noise-cancellation-005
active-noise-cancellation-006
active-noise-cancellation-007
active-noise-cancellation-008
active-noise-cancellation-009
active-noise-cancellation-010

Amplifier

amplifier-001
amplifier-002
amplifier-003
amplifier-004
amplifier-005
amplifier-006
amplifier-007
amplifier-008
amplifier-009
amplifier-010

Sound Tuning

sound-tuning-001
sound-tuning-002
sound-tuning-003
sound-tuning-004
sound-tuning-005
sound-tuning-006
sound-tuning-007
sound-tuning-008
sound-tuning-009
sound-tuning-010

Speakers

speakers-001
speakers-002
speakers-003
speakers-004
speakers-005
speakers-006
speakers-007
speakers-008
speakers-009
speakers-010

Constraints

AUTOSAR architecture adherence
ISO 26262 functional safety compliance
Real-time performance requirements
Resource constraints (CPU/Memory)

Required Tools

AUTOSAR toolchain
MATLAB/Simulink
Static analyzer (Polyspace/Klocwork)
Vector CANoe/CANalyzer

Instructions

active-noise-cancellation-001

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

active-noise-cancellation-002

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

active-noise-cancellation-003

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

active-noise-cancellation-004

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

active-noise-cancellation-005

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

active-noise-cancellation-006

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

active-noise-cancellation-007

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

active-noise-cancellation-008

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

active-noise-cancellation-009

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

active-noise-cancellation-010

Core Competencies

Expert in active noise cancellation for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-001

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-002

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-003

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-004

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-005

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-006

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-007

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-008

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-009

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

amplifier-010

Core Competencies

Expert in amplifier for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-001

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-002

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-003

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-004

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-005

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-006

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-007

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-008

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-009

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

sound-tuning-010

Core Competencies

Expert in sound tuning for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-001

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-002

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-003

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-004

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-005

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-006

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-007

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-008

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-009

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

speakers-010

Core Competencies

Expert in speakers for automotive audio systems.

Approach

Analyze requirements against automotive standards
Design solution following AUTOSAR patterns
Implement with safety and security considerations
Validate per ISO 26262 requirements

Deliverables

Technical specification
Implementation (C/C++/Model)
Test cases and results
Safety documentation

Illustrative Want to see what pangzhenying2025/automotive-audio would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

Latest benchmark · publisher runVerified

8/6/2026, 10:30 UTC · 22 cases

Lift

-100%

0% vs 100%

Agent turns

1.0 vs 1.0

Tokens

+151%

8,291.5 vs 3,302.68

pass → pass · 19fail → fail · 3

Per-case results (22)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 We are developing an active noise cancellation algorithm for our main cabin ECU. Please produce a comprehensive engineering bundle that includes the technical specification, C/C++ implementation code, validation test cases with sample output, and required functional safety documentation adhering to automotive standards.	fail→fail	31,284	28,215	-10%	1	1	0%	6,191	10,508	+70%	0	0	—
case-02 Our team is designing a multichannel amplifier management module for an automotive audio system on an AUTOSAR 4.4 architecture. Can you supply the technical specification, complete C source code, test cases along with expected results, and safety artifact documentation?	fail→fail	28,065	27,125	-3%	1	1	0%	6,190	10,507	+70%	0	0	—
case-03 We need to implement a dynamic sound tuning component that adjusts equalization parameters based on acoustic feedback in the cabin. Please construct the technical spec, C model implementation, test suite and verification results, as well as the safety documentation needed for ISO 26262 compliance.	fail→fail	29,862	27,461	-8%	1	1	0%	6,195	10,512	+70%	0	0	—
case-04 We are developing driver software for an automotive speaker protection module to prevent voice coil thermal damage in high-power door woofers. We are considering a simple fixed hard limiter on peak audio amplitude to avoid over-excursion and heating. Is a simple peak amplitude hard limiter sufficient for automotive thermal speaker protection, or what architecture and safety standard compliance should be used?	pass→pass	17,151	24,845	+45%	1	1	0%	3,070	9,099	+196%	0	0	—
case-05 We need an active noise cancellation algorithm (FxLMS) for engine harmonic attenuation. A junior developer suggested writing a standalone C main loop using standard C standard library allocations (malloc) and POSIX threads. What architectural structure and memory management model should be used for AUTOSAR 4.4 ECU runtime compatibility?	pass→pass	21,100	19,587	-7%	1	1	0%	3,978	8,280	+108%	0	0	—
case-06 We are configuring diagnostic reporting for an automotive Class-D audio amplifier chip (e.g. detecting output short-to-ground or over-temperature). Should fault flags directly trigger an immediate OS shutdown of the audio ECU, or how should fault handling be structured under AUTOSAR and ISO 26262?	pass→pass	15,390	22,018	+43%	1	1	0%	2,812	8,478	+201%	0	0	—
case-07 We are implementing a 10-band parametric equalizer module for cabin acoustic tuning. The implementation team wants to update filter coefficients asynchronously directly inside the high-priority real-time audio interrupt service routine (ISR). Is direct coefficient writing inside the audio ISR acceptable?	pass→pass	14,526	32,998	+127%	1	1	0%	2,560	7,822	+206%	0	0	—
case-08 We need to run line-check / speaker impedance measurements during vehicle startup to detect open-circuit or short-circuit speaker channels before activating the main amplifier bridge. Should this test run continuously during active music playback using full power DC bias signals?	pass→pass	11,878	15,462	+30%	1	1	0%	2,183	7,092	+225%	0	0	—
case-09 Our active noise cancellation system ingests digital error microphone signals directly over an internal vehicle bus. How does cybersecurity compliance per ISO 21434 affect error microphone data acquisition and signal integrity?	pass→pass	17,427	20,927	+20%	1	1	0%	2,937	8,437	+187%	0	0	—
case-10 We are defining the development process for an automotive amplifier gain-staging software component. A team member suggested skipping formal requirements tracing from system specification down to unit test results to save project time. Does this satisfy ASPICE requirements?	pass→pass	14,830	9,949	-33%	1	1	0%	2,353	6,151	+161%	0	0	—
case-11 When configuring speaker delay compensation for cabin driver-centric acoustic tuning, can fractional sample delay be safely implemented by rounding delays to the nearest integer sample period at 48kHz sampling rate without Phase/comb-filtering issues?	pass→pass	17,223	15,215	-12%	1	1	0%	3,644	7,440	+104%	0	0	—
case-12 For cabin active noise cancellation, can the secondary path transfer function (from speaker to error microphone) be assumed static and fixed at factory calibration time under all vehicle cabin temperatures and window states?	pass→pass	16,419	14,258	-13%	1	1	0%	2,241	6,900	+208%	0	0	—
case-13 In an automotive multi-channel Class-D amplifier, how should soft clipping / look-ahead limiter processing be integrated to protect speakers while avoiding harmonic distortion under high supply voltage fluctuations?	pass→pass	19,534	29,479	+51%	1	1	0%	3,504	10,494	+199%	0	0	—
case-14 We are implementing a localized sound zone / seat-centric beamforming algorithm using a multi-speaker array. What static analysis tools should be used on the algorithmic C implementation before AUTOSAR integration?	pass→pass	15,199	14,515	-5%	1	1	0%	2,719	6,955	+156%	0	0	—
case-15 For electric vehicle Active Sound Design (ASD) synthetic engine sound generation synced to CAN vehicle speed/torque, what software toolchain should be used to simulate and test sound profiles against CAN bus signals prior to flash programming?	pass→pass	17,345	23,119	+33%	1	1	0%	3,137	7,782	+148%	0	0	—
case-16 We are deploying road noise active cancellation (RNC) using chassis accelerometers as reference signals. Should accelerometer data processing run in an un-timed background thread without deterministic latency guarantees?	pass→pass	10,533	16,114	+53%	1	1	0%	2,014	7,494	+272%	0	0	—
case-17 When the power amplifier heatsink reaches critical thermal limits (105 deg C), should the amplifier software instantly shut down all channel outputs without warning?	pass→pass	12,172	17,195	+41%	1	1	0%	2,197	8,118	+270%	0	0	—
case-18 We are designing FIR phase-linearization filters for multi-way automotive speakers. FIR filters require significant DSP memory and processing cycles. How should resource constraints (CPU/Memory) be evaluated during design?	pass→pass	17,778	19,620	+10%	1	1	0%	3,318	8,359	+152%	0	0	—
case-19 In an automotive infotainment system, critical safety chimes (e.g., ADAS collision warnings, seatbelt alerts) share the audio DSP with media playback. How must safety chimes be handled when media volume is set to maximum?	pass→pass	12,546	19,681	+57%	1	1	0%	2,280	8,356	+266%	0	0	—
case-20 We are configuring the AUTOSAR Com stack PDU routing tables for CAN-FD powertrain messages (engine speed, transmission gear) on an ECU Gateway. How should PDU routing rules be mapped in the Com/PduR configuration?	pass→pass	18,267	13,643	-25%	1	1	0%	3,749	7,239	+93%	0	0	—
case-21 We need to configure IEEE 802.1AS gPTP time synchronization protocol on an Automotive Ethernet switch hardware layer. What parameters control gPTP grandmaster election and sync message intervals?	pass→pass	13,509	17,373	+29%	1	1	0%	2,714	7,958	+193%	0	0	—
case-22 Our team is designing an ISO 26262 ASIL-B vision pipeline for forward camera lane detection using OpenCV on an SoC. What design pattern ensures deterministic frame processing time for image buffers?	pass→pass	16,499	20,049	+22%	1	1	0%	2,673	8,432	+215%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of -100 percentage points is the difference between those two pass rates over the 22 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 100%
Pass rate with the skill: 0%
Cases attempted: 22
Cases counted toward lift: 22
Cases that regressed: 2
Skill version measured: v1
Run completed: 8/6/2026, 10:30 UTC

SkillScore blends 4 signalsno signals yet

BenchmarkRun a verified benchmark with positive lift

Live evalNeeds ≥10 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

Efficiency · separate axis (at equal correctness)+0% turns+179% tokens

Shown for transparency; not credited unless a verified run shows no correctness regression.

No signals yet — run a benchmark or collect evaluated traces to earn a score.

Verified on gemini-3.6-flash · re-tested 52 days ago

Other measured skills in the registry, with their headline benchmark lift.