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/.agents/skills/wf-fix/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/wf-fix)<a href="https://agentmods.dev/skills/phuoctrung-ppt/ai-sdlc-workflow/wf-fix"><img src="https://agentmods.dev/badge/skills/phuoctrung-ppt/ai-sdlc-workflow/wf-fix/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/phuoctrung-ppt/ai-sdlc-workflow/wf-fix"><img src="https://agentmods.dev/badge/skills/phuoctrung-ppt/ai-sdlc-workflow/wf-fix.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00036 | $0.00203 |
| Opus 5.5 | $0.00014 | $0.00081 |
| Sonnet 5.5 | $0.00007 | $0.00041 |
| Haiku 4.5 | $0.00004 | $0.00020 |
Grade A, and why
wf-fix 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 1mo 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
Workflow: fix (day path)
This encodes .cursor/commands/fix.md for Codex.
Steps
- Read AGENTS.md §0 layers and relevant stack.
- Activate error-recovery: read
.cursor/skills/error-recovery/SKILL.md. - Reproduce or state reproduction steps; identify root cause.
- Minimal patch only; no drive-by refactors.
- Run available tests/lint for touched areas.
- If protected paths involved, recommend judge review and
docs/reviews/note. - Optional: read
.cursor/commands/fix.mdfor full command checklist if present.
Anti-patterns
- Full feature redesign under a "fix" request
- Ignoring off layers
- Skipping verification
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.
- 1mo ago First seen · 25 lines · 36 tokens per session scan A 095b5e5dce64
wf-fix is a skill published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 203 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-12.
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