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Perf Check · josstei | DecimalAI

codingby josstei

Perf Check

josstei/perf-check

Source josstei/maestro-orchestrate ↗License Apache-2.0

Run a Maestro-style performance assessment for hotspots, regressions, and optimization planning

NewMaintained

Automatic

Coding pack

Last verified 8/19/2026

What it changes

1 of 22 test cases passed with the skill.

Pass-rate lift: —
Tokens: +43%
Agent turns: 0%
Response time: +46%

Model gemini-3.6-flashMeasured 8/19/2026v21 of 22 cases passed with skill · 7 comparable

Tokens, turns and time describe resource use, not a dollar price.

Lift withheld: 7 comparable cases; this report requires 8.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/josstei-perf-check/SKILL.md https://app.decimal.ai/s/josstei-perf-check/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add josstei-perf-check, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

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

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/josstei-perf-check/ and pins it in .decimal/skills.lock

decimalai skills add josstei-perf-check

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

curl -fsSL --create-dirs -o .claude/skills/josstei-perf-check/SKILL.md https://app.decimal.ai/s/josstei-perf-check/SKILL.md

Raw file: /s/josstei-perf-check/SKILL.md ↗ · machine-readable summary at /s/josstei-perf-check.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

What's inside

The instructions your model reads when the skill loads.

SKILL.md11 linessingle file

Read ../../references/runtime-guide.md. Call get_skill_content with resources: ["architecture", "delegation"]. Call get_agent with agents: ["performance-engineer"].

Workflow

Define the performance target or pain point
Establish the current baseline from available code, metrics, or reproducible commands
Identify likely hotspots, structural bottlenecks, and hot loops through code analysis
Prioritize fixes by expected impact versus implementation cost
Report measurement gaps when hard evidence is unavailable and propose a validation plan

Track record

Benchmark

1 / 22

test cases passed with the skill

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

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

josstei / maestro-orchestrate

claude/skills/perf-check/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v2

More skills from the same source and nearby in the registry, with their headline benchmark lift.