Borrowing it
Nothing to install: this file belongs to anthony-chaudhary/fak. 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/anthony-chaudhary/fak/main/.agents/skills/skill-lifecycle/SKILL.mdgit clone --depth 1 https://github.com/anthony-chaudhary/fakWrote 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/anthony-chaudhary/fak/skill-lifecycle)<a href="https://agentmods.dev/skills/anthony-chaudhary/fak/skill-lifecycle"><img src="https://agentmods.dev/badge/skills/anthony-chaudhary/fak/skill-lifecycle.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 6 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 11 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00051 | $0.00252 |
| Opus 5 | $0.00026 | $0.00126 |
| Sonnet 5 | $0.00010 | $0.00050 |
| Haiku 4.5 | $0.00005 | $0.00025 |
Grade A, and why
skill-lifecycle 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.
What it actually says
Canonical project skill adapter
Load and follow ../../../.claude/skills/skill-lifecycle/SKILL.md. This generated discovery adapter contains no maintained workflow body.
Portability contract
- The linked canonical
SKILL.mdis the single semantic workflow body for Claude, Codex, and fak-native loaders. - This adapter changes discovery only; it must not fork, summarize, or translate the workflow.
- Harness-native invocation, permissions, hooks, model routing, and worker launch remain typed adapters outside the semantic body.
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.
- today Changed · +1 lines 30ba68741d55
- 8d ago First seen · 18 lines · 51 tokens per session scan A 5734042884b1
skill-lifecycle is a skill published in the GitHub repository anthony-chaudhary/fak (37 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 252 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
go-expert
Use this skill when writing or reviewing Go code. Covers Go idioms, concurrency patterns, error handling, project structure, testing, benchmarks, and production-grade Go standards.
learn-from-sage
Detection-gap (miss) analysis for Code Review Sage. Learn from shipped fixes, acted-on human comments, and design outcomes to close reviewer blind spots. Inline during review stages a candidate; a human triggers a one-shot AI consolidation into the live ruleset.
neuron-structured-output
Design and implement structured output classes for Neuron AI agents using SchemaProperty attributes and validation rules. Use this skill when the user mentions structured output, JSON schema extraction, data validation, output classes, DTOs for AI responses, extracting structured data from LLM, or configuring property…
nw-review-workflow
Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews.
requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
code-quality
Drive static-analysis code quality in pi-agent-dashboard with Biome (analyze → fix → test), in changed-files or whole-repo mode. Use when asked to "improve code quality", "lint and fix", "clean up warnings", "fix Biome issues", "run static analysis", or when setting a code-quality goal. Skip for one-line edits.