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A5c AI/Plan Implementation — measured AI agent skill | DecimalAI

a5c-ai/plan-implementation

SkillScore36Maintained

Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.

by a5c-ai

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

Automatic

Coding pack

decimalai skills pull a5c-ai-plan-implementation

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-plan-implementation/SKILL.md

Raw file: /s/a5c-ai-plan-implementation/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-plan-implementation.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 9d ago

—-32% tokens0% turns36% of whole cases pass with skill (8/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	-45%	0%
case-07	✗→✓	▲ Improved	-16%	0%
case-11	✗→✓	▲ Improved	-39%	0%
case-13	✗→✓	▲ Improved	-40%	0%
case-17	✗→✓	▲ Improved	-24%	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 — 7/31/2026

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

a5c-ai / babysitter

library/methodologies/rpikit/skills/plan-implementation/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

For medium and high stakes changes (low stakes can proceed inline)
When structured execution with verification is needed

Process

Load plan - Validate plan exists and is approved
Stakes enforcement - High: halt without plan. Medium: ask. Low: proceed.
Worktree isolation - Offer git worktree based on stakes level
Execute steps - For each: mark in-progress, locate files, read, modify, verify, mark complete
Phase checkpoints - Summarize and ask: continue, review, or pause
Failure handling - Stop immediately, investigate, propose fix, get approval for deviations
Code review - Run code-reviewer agent (APPROVE / APPROVE_WITH_NITS / REQUEST_CHANGES)
Security review - Run security-reviewer agent (halt if failed)
Completion summary - Steps completed, files changed, test status, plan location

Key Rules

Follow the plan strictly; deviations require explicit approval
Verify before declaring done; run verification after each step
Track progress visibly via plan document updates
Read files before modifying them
Complete code and security reviews before finishing

Tool Use

Invoke via babysitter process: methodologies/rpikit/rpikit-implement

Want to see if a5c-ai/plan-implementation would activate on your phrasing? Try it before you install — no LLM call, no signup.

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