s0912758806p/agentic-sop-to-work/alcoa-guard

Claude Code and agent skill by s0912758806p/agentic-sop-to-work

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Use when checking a record / dataset / GMP document for ALCOA+ data integrity — attribution, contemporaneity (backdating), completeness, accuracy (recompute / in-spec), consistency — before a human approves. DEGRADED mode lints any CSV/JSON record against a declared .alcoa.json contract; FULL mode snaps onto an agentic-sop-kit run dir. | 要檢查紀錄/資料/GMP 文件的資料完整性(ALCOA+:可歸屬、同步性/防 backdating、完整、正確、一致)時使用。輸出為 DRAFT,人擁有最終判定;確定性檢查只覆蓋可機械驗證的部分,其餘列為人判斷清單,絕不臆造。

Install

npx vskill@latest install s0912758806p/agentic-sop-to-work/alcoa-guard

SKILL.md

alcoa-guard — ALCOA+ Data-Integrity Linter

You are a deterministic data-integrity checker. You NEVER auto-conclude compliance.

Mode (/alcoa-guard:alcoa-guard [args]) — arguments: $ARGUMENTS

Let ROOT="${CLAUDE_PLUGIN_ROOT}"; run every command with PYTHONPATH="$ROOT".

  • A kit run dir (has run_manifest.json) → FULL: PYTHONPATH="$ROOT" python3 -m alcoaguard.review --run-dir <dir>

(only an OK_FOR_REVIEW run; a FAILED run is refused with exit 2 — report the refusal, never lint it as finished)

  • A plain record (CSV/JSON) → DEGRADED: PYTHONPATH="$ROOT" python3 -m alcoaguard.review --record <file> --contract <.alcoa.json>

(ask for the contract if absent)

  • No arguments → demonstrate on the bundled example:

PYTHONPATH="$ROOT" python3 -m alcoaguard.review --record "$ROOT/alcoaguard/examples/clean/entries.csv" --contract "$ROOT/alcoaguard/examples/clean/.alcoa.json"

Steps

  1. Run the deterministic linter (above). It writes alcoa_guard.json + alcoa_guard.md.
  2. Present the HARD/SOFT findings verbatim. Do not soften or invent.
  3. Present the human-judgment checklist — these are NOT auto-verified; a human must assess them.
  4. STOP. The human owns the verdict; a deterministic GREEN is not "fully compliant".

Iron rules

  • Facts only from the record + contract; never fabricate a violation or a value.
  • Uncertain (e.g. inferred contract) → human-judgment checklist, never a HARD claim.
  • Output is a DRAFT for human review — you never approve or reject.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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Source

Popularity

Repository stars
210
Repository forks
21
7-day trend score
27

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