stocktake-skills

stocktake-skills is a cursor rule for Cursor from danielvm-git/bigpowers. It costs 41 tokens per session (909 once invoked), scanned A, original, MIT.

Sequential subagent batch audit of the bigpowers skill catalog — Quick Scan (changed only) or Full (all skills). Use during sustain phase, before a major release, or when catalog drift is suspected.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/danielvm-git/bigpowers/stocktake-skills
Clone the repo
git clone --depth 1 https://github.com/danielvm-git/bigpowers

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for stocktake-skills

README.md
[![agentmods](https://agentmods.dev/badge/rules/danielvm-git/bigpowers/stocktake-skills.svg)](https://agentmods.dev/rules/danielvm-git/bigpowers/stocktake-skills)
Your own site
<a href="https://agentmods.dev/rules/danielvm-git/bigpowers/stocktake-skills"><img src="https://agentmods.dev/badge/rules/danielvm-git/bigpowers/stocktake-skills.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 909 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00041 $0.00909
Opus 5 $0.00020 $0.00454
Sonnet 5 $0.00008 $0.00182
Haiku 4.5 $0.00004 $0.00091

Measured today against content hash 02d84b9ec8ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

stocktake-skills scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/stocktake-skills.mdc · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

story: e09s01

Stocktake Skills

HARD GATEHARD GATE — Skill inventory must be current. Missing HARD GATEs, stale descriptions, or broken verify commands are defects, not cosmetic. Fix them in evolve-skill.

Audit SKILL.md catalog for drift, stale triggers, missing HARD GATEs, and INDEX mismatches.

Modes

Mode Scope
Quick Scan Skills changed since last tag or in current diff
Full All skills per SKILL-INDEX.md + catalog audit
--verify Run bash scripts/run-skill-verify.sh and append health results to the stocktake report

Process

  1. Catalog validator (code-enforced) — run bash scripts/validate-skill-catalog.sh. Any FAIL is a critical finding before manual review. Add --archive to list zero-usage skills from metrics.skill_timings for auto-archiving candidates (move to specs/epics/archive/ or delete after user confirms). 0b. Agentic STE audit (e79s04) — run bash scripts/validate-agentic-ste.sh --audit skills/. Flag hedge words and sentences over 20 words per AGENTIC-STE.md. Record WARN lines in the stocktake report as STE debt — do NOT rewrite the full catalog in one pass. Route critical repeat offenders to evolve-skill.
  2. Run bash scripts/audit-catalog.sh to verify pi/skills ↔ source SKILL.md sync. Mismatch is a critical finding.
  3. Run mode; for each skill check: exists, verb-noun, <300 lines total, HARD GATE present, INDEX row matches.
  4. Write specs/STOCKTAKE-<date>.md with findings table (skill, issue, severity).
  5. Effectiveness report (--full mode only): Read specs/state.yaml metrics.skill_timings and report:
    • Top 5 most-used skills (by calls, total_seconds)
    • Skills with zero calls (potential dead weight)
    • Skills with high average time (candidates for evolve-skill)
  6. Critical findings → plan-work story; cosmetic → evolve-skill candidate.
  7. --verify mode: Run bash scripts/run-skill-verify.sh and append a ## Verify Health section to the stocktake report: "N/68 PASS, M FAIL, K SKIP". FAIL skills are critical findings and go straight to plan-work.

Read the full file on GitHub · 74 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today First seen · 74 lines · 41 tokens per session scan A 02d84b9ec8ae

Subscribe to this mod's changes

stocktake-skills is a cursor rule published in the GitHub repository danielvm-git/bigpowers (163 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 909 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.