Borrowing it
Nothing to install: this file belongs to phuoctrung-ppt/ai-sdlc-workflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/phuoctrung-ppt/ai-sdlc-workflow/master/.cursor/skills/skill-updater/SKILL.mdgit clone --depth 1 https://github.com/phuoctrung-ppt/ai-sdlc-workflowWrote 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.
[](https://agentmods.dev/skills/phuoctrung-ppt/ai-sdlc-workflow/skill-updater)<a href="https://agentmods.dev/skills/phuoctrung-ppt/ai-sdlc-workflow/skill-updater"><img src="https://agentmods.dev/badge/skills/phuoctrung-ppt/ai-sdlc-workflow/skill-updater.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.00251 |
| Opus 5 | $0.00010 | $0.00125 |
| Sonnet 5 | $0.00004 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
skill-updater 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 8d ago.
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.
What it actually says
Skill Updater
Counter (CLI only)
python3 .cursor/scripts/learning-counter.py get
fullPassRecommended: trueor task says full//skill-update→ full scan- else → lightweight
- After proposal:
python3 .cursor/scripts/learning-counter.py reset --proposal <path>
Do not open .cursor/state/workflow-state.json in the editor or dump it into context.
Inputs
docs/retrospective.mddocs/memory/decisions.md,gotchas.md,shortcuts.md- Target
SKILL.md/ patterns - Optional related
docs/reviews/*
Pattern bar
≥2 independent signals (same root cause, repeated Critical class, repeated pattern candidate, …).
Output
docs/reviews/YYYY-MM-DD-skill-update-proposal.md — PENDING_APPROVAL — or explicit no-pattern.
Propose, don't apply. Minimal patch. Update docs/memory/* when durable.
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.
- 8d ago First seen · 36 lines · 21 tokens per session scan A 0a3766bcfe1c
skill-updater is a skill published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 251 once invoked, about $0.0001 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 2026-08-31.
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