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Automotive Fuel System · pangzhenying2025 | DecimalAI

pangzhenying2025/automotive-fuel-system

SkillScore95Maintained

Expert skill in fuel pump focusing on fuel-system domain applications. Covers 30 topics across fuel-system domain. Includes 30 skill files covering ASPICE Level 3, AUTOSAR 4.4, ISO 21434, ISO 26262.

codingby 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-fuel-system/SKILL.md

decimalai skills pull pangzhenying2025-automotive-fuel-system --out .claude/skills/

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

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

Raw file: /s/pangzhenying2025-automotive-fuel-system/SKILL.md ↗ · machine-readable summary at /s/pangzhenying2025-automotive-fuel-system.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 51d ago

Yes — +9% lift · at higher cost+141% tokens0% turns95% of whole cases pass with skill (21/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	68%	0%
case-03	✗→✓	▲ Improved	147%	0%
case-02	✓→✓	＝ Same ✓	140%	0%
case-04	✓→✓	＝ Same ✓	132%	0%
case-05	✓→✓	＝ Same ✓	71%	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-fuel-system/SKILL.md

View on GitHub ↗

License MITImported 8/2/2026Version v1

Skill contents

SKILL.md

Automotive Fuel System

30 skill files covering fuel-system domain for automotive software engineering.

Applicable Standards

ASPICE Level 3
AUTOSAR 4.4
ISO 21434
ISO 26262

Use Cases

FUEL-SYSTEM system development
Fuel Pump optimization
Production ECU implementation
Injection optimization
Vapor Management optimization

Topics Covered

Fuel Pump

fuel-pump-001
fuel-pump-002
fuel-pump-003
fuel-pump-004
fuel-pump-005
fuel-pump-006
fuel-pump-007
fuel-pump-008
fuel-pump-009
fuel-pump-010

Injection

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

Vapor Management

vapor-management-001
vapor-management-002
vapor-management-003
vapor-management-004
vapor-management-005
vapor-management-006
vapor-management-007
vapor-management-008
vapor-management-009
vapor-management-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

fuel-pump-001

Core Competencies

Expert in fuel pump for automotive fuel-system 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

fuel-pump-002

Core Competencies

Expert in fuel pump for automotive fuel-system 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

fuel-pump-003

Core Competencies

Expert in fuel pump for automotive fuel-system 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

fuel-pump-004

Core Competencies

Expert in fuel pump for automotive fuel-system 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

fuel-pump-005

Core Competencies

Expert in fuel pump for automotive fuel-system 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

fuel-pump-006

Core Competencies

Expert in fuel pump for automotive fuel-system 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

fuel-pump-007

Core Competencies

Expert in fuel pump for automotive fuel-system 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

fuel-pump-008

Core Competencies

Expert in fuel pump for automotive fuel-system 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

fuel-pump-009

Core Competencies

Expert in fuel pump for automotive fuel-system 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

fuel-pump-010

Core Competencies

Expert in fuel pump for automotive fuel-system 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

injection-001

Core Competencies

Expert in injection for automotive fuel-system 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

injection-002

Core Competencies

Expert in injection for automotive fuel-system 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

injection-003

Core Competencies

Expert in injection for automotive fuel-system 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

injection-004

Core Competencies

Expert in injection for automotive fuel-system 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

injection-005

Core Competencies

Expert in injection for automotive fuel-system 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

injection-006

Core Competencies

Expert in injection for automotive fuel-system 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

injection-007

Core Competencies

Expert in injection for automotive fuel-system 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

injection-008

Core Competencies

Expert in injection for automotive fuel-system 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

injection-009

Core Competencies

Expert in injection for automotive fuel-system 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

injection-010

Core Competencies

Expert in injection for automotive fuel-system 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

vapor-management-001

Core Competencies

Expert in vapor management for automotive fuel-system 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

vapor-management-002

Core Competencies

Expert in vapor management for automotive fuel-system 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

vapor-management-003

Core Competencies

Expert in vapor management for automotive fuel-system 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

vapor-management-004

Core Competencies

Expert in vapor management for automotive fuel-system 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

vapor-management-005

Core Competencies

Expert in vapor management for automotive fuel-system 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

vapor-management-006

Core Competencies

Expert in vapor management for automotive fuel-system 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

vapor-management-007

Core Competencies

Expert in vapor management for automotive fuel-system 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

vapor-management-008

Core Competencies

Expert in vapor management for automotive fuel-system 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

vapor-management-009

Core Competencies

Expert in vapor management for automotive fuel-system 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

vapor-management-010

Core Competencies

Expert in vapor management for automotive fuel-system 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-fuel-system 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

8/8/2026, 00:04 UTC · 22 cases

Lift

+9%

95% vs 86%

Agent turns

1.0 vs 1.0

Tokens

+141%

5,266.09 vs 2,189.59

fail → pass · 2pass → pass · 19fail → fail · 1

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 a new direct injection module and need help with the software engineering. Generate the technical design document, a Simulink model for the logic, validation test scenarios, and the hazard analysis documentation. Ensure it meets strict real-time memory limits and industry safety protocols.	fail→pass	27,322	28,158	+3%	1	1	0%	5,658	9,508	+68%	0	0	—
case-02 I am setting up the CI/CD pipeline for the new fuel pump ECU software. To ensure compliance with our resource and safety constraints, should we use SonarQube for static analysis?	pass→pass	12,025	11,450	-5%	1	1	0%	2,279	5,477	+140%	0	0	—
case-03 We are configuring the automated code review for the vapor management module. Besides Polyspace, what other specific static analyzer is mandated for this automotive project?	fail→pass	7,974	2,058	-74%	1	1	0%	1,469	3,634	+147%	0	0	—
case-04 We need to debug the communication matrix for the injection system over the vehicle CAN bus. Should we use Wireshark for this network validation?	pass→pass	11,013	10,951	-1%	1	1	0%	2,210	5,135	+132%	0	0	—
case-05 We are migrating the legacy fuel pump control software to a standardized architecture. Which specific version of the AUTOSAR standard is required for this domain?	pass→pass	11,441	2,532	-78%	1	1	0%	2,194	3,748	+71%	0	0	—
case-06 The OEM is auditing our vapor management software development process next month. What specific maturity level must our engineering processes demonstrate to pass?	pass→pass	13,415	11,078	-17%	1	1	0%	2,162	5,318	+146%	0	0	—
case-07 For the new connected injection module, we need to ensure cybersecurity is handled alongside functional safety. Should we certify the component to ISO 27001?	pass→pass	12,488	12,572	+1%	1	1	0%	2,438	5,459	+124%	0	0	—
case-08 We are evaluating the functional safety of the fuel pump controller. Should we use IEC 61508 as our primary safety standard?	pass→pass	10,906	14,736	+35%	1	1	0%	2,096	5,881	+181%	0	0	—
case-09 We are designing the software architecture for a new direct injection module. What specific architectural standard and version must we adopt?	pass→pass	11,981	3,474	-71%	1	1	0%	2,047	3,863	+89%	0	0	—
case-10 We are preparing the validation plan for the fuel pump software. Should we use DO-178C as our primary software safety standard?	pass→pass	11,972	9,865	-18%	1	1	0%	2,014	5,078	+152%	0	0	—
case-11 When designing the real-time control loop for the injection system, should we use a Linux-based operating system to manage the tasks?	pass→pass	15,186	11,066	-27%	1	1	0%	2,603	5,221	+101%	0	0	—
case-12 We need to develop the control algorithms for the vapor management system before generating C code. Should we use LabVIEW for this algorithm development?	pass→pass	13,937	15,566	+12%	1	1	0%	2,258	5,851	+159%	0	0	—
case-13 For the technical implementation deliverable of the injection system, we are planning to use C++20 for the ECU logic. Is this acceptable?	fail→fail	13,649	13,031	-5%	1	1	0%	2,522	5,454	+116%	0	0	—
case-14 We are defining the diagnostic protocol for the vapor management module. Should we use OBD-II as the primary diagnostic protocol for manufacturing and flashing?	pass→pass	12,842	16,366	+27%	1	1	0%	2,395	6,060	+153%	0	0	—
case-15 Before starting the development of the injection control unit, we need to ensure our engineering process meets the required maturity level. What specific level is mandated?	pass→pass	7,662	3,210	-58%	1	1	0%	1,606	3,923	+144%	0	0	—
case-16 We are ready to implement the control logic for the fuel pump. Should we manually write the hardware abstraction layer from scratch?	pass→pass	12,591	14,606	+16%	1	1	0%	2,127	6,706	+215%	0	0	—
case-17 When structuring the software components for the vapor management ECU, should the application software communicate directly with the microcontroller hardware?	pass→pass	11,380	12,768	+12%	1	1	0%	1,985	5,518	+178%	0	0	—
case-18 To ensure the injection system software is free of run-time errors, should we rely solely on dynamic testing and MIL/SIL simulations?	pass→pass	12,380	15,292	+24%	1	1	0%	2,195	6,062	+176%	0	0	—
case-19 We need to validate the CAN communication for the production ECU. Which specific software tool from Vector Informatik is mandated for this validation?	pass→pass	7,427	5,586	-25%	1	1	0%	1,131	4,210	+272%	0	0	—
case-20 We are writing a Python script to automate the parsing of CAN bus logs from the fuel pump. What specific open-source Python library is standard for reading ASC and BLF files?	pass→pass	8,018	6,186	-23%	1	1	0%	1,418	4,436	+213%	0	0	—
case-21 I am writing the control logic for the dual-clutch transmission (DCT) module. Which two specific rotational speeds must be subtracted to calculate clutch slip speed?	pass→pass	7,124	6,109	-14%	1	1	0%	1,329	4,412	+232%	0	0	—
case-22 For the high-voltage Battery Management System (BMS) on our new EV platform, which specific current-integration algorithm is standard for estimating State of Charge (SoC)?	pass→pass	11,963	10,374	-13%	1	1	0%	2,035	4,900	+141%	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 +9 percentage points is the difference between those two pass rates over the 22 comparable cases.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 86.4%
Pass rate with the skill: 95.5%
Cases attempted: 22
Cases counted toward lift: 22
Cases that regressed: 0
Skill version measured: v1
Run completed: 8/8/2026, 00:04 UTC

Measured example — same prompt, with vs. without the skill · from the benchmark run · case case-01

Prompt

We are developing a new direct injection module and need help with the software engineering. Generate the technical design document, a Simulink model for the logic, validation test scenarios, and the hazard analysis documentation. Ensure it meets strict real-time memory limits and industry safety protocols.

Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.

Show both answers

SkillScore blends 4 signals1 of 4 complete

BenchmarkPass rate WITH skill on a verified run95

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+153% tokens

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

Backed by 1 of 4 signals — each added signal makes the score more robust.

Verified on gemini-3.6-flash · re-tested 51 days ago

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