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.
npx agentmods add skills/dqz00116/skill-lib/contributingnpx skills add Dqz00116/skill-lib --skill contributinggit clone --depth 1 https://github.com/Dqz00116/skill-libWrote 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/dqz00116/skill-lib/contributing)<a href="https://agentmods.dev/skills/dqz00116/skill-lib/contributing"><img src="https://agentmods.dev/badge/skills/dqz00116/skill-lib/contributing.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 | $0.00025 | $0.00753 |
| Opus 5 | $0.00013 | $0.00377 |
| Sonnet 5 | $0.00005 | $0.00151 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade C, and why
contributing scanned grade C with 2 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 4d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf /tmp/skill-lib Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -o ~/workspace/skills/code-analysis/SKILL.md \ How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contributing to Skill-Lib
Guidelines for installing skills and contributing new ones to this repository.
Overview
Skill-Lib is a curated collection of reusable AI Agent Skills. Each skill follows the writing-skills standard with standardized frontmatter, structure, and content guidelines.
When to Use
- Adding a new skill to this repository
- Installing skills to your local workspace
- Updating existing skills to meet repository standards
- Understanding naming conventions and file structure requirements
Quick Reference
| Action | Command / Step |
|---|---|
| Install all skills | git clone https://github.com/Dqz00116/skill-lib.git then copy directories |
| Install single skill | Download skill-name/SKILL.md to ~/workspace/skills/skill-name/ |
| Add new skill | Create skill-name/SKILL.md following standards below |
| Update index | python scripts/generate-summary.py --write |
Installation
Install All Skills
git clone https://github.com/Dqz00116/skill-lib.git /tmp/skill-lib
mkdir -p ~/workspace/skills
cp -r /tmp/skill-lib/*/ ~/workspace/skills/
rm -rf /tmp/skill-lib
Install Single Skill
mkdir -p ~/workspace/skills/code-analysis
curl -o ~/workspace/skills/code-analysis/SKILL.md \
https://raw.githubusercontent.com/Dqz00116/skill-lib/main/code-analysis/SKILL.md
Verify Installation
Each skill must contain:
skill-name/
└── SKILL.md # Required
Optional: README.md, templates/, examples/, scripts/.
Contributing
Naming Conventions
| Item | Format | Example |
|---|---|---|
| Directory name | lowercase + hyphens | code-analysis |
SKILL.md filename |
uppercase | SKILL.md |
name field |
matches directory | code-analysis |
description |
starts with Use when... |
Use when analyzing unfamiliar code |
SKILL.md Standards
Required frontmatter:
---
name: skill-name
description: Use when [triggering conditions]
---
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.
- 4d ago First seen · 113 lines · 25 tokens per session scan C c9f7d57650c5
contributing is a skill published in the GitHub repository Dqz00116/skill-lib (22 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 753 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
loop-implement
The single implementation loop. It plans via wiki-plan (step 2, required) into an ordered, wiki-navigated task list, then executes those tasks in order, each loading only its named wiki pages, writing tests first, getting an independent test-quality audit, and judging against done; on failure it reflects and retries…
knowledge-flush
Drain queued ★ Insight candidates (harvested from your sessions) into the wiki as a reviewed PR. For each candidate it researches and verifies the best-practice against real sources, checks existing wiki layers for duplicates and links, decides the target layer/category (or justifies a new one), runs wiki-ingest, then…
wiki-plan
The fixed planning methodology for a capable model. Make every design decision grounded in a bundled wiki page (recording a decision-to-page map), then decompose the work into ordered, self-contained tasks, each naming the exact wiki pages that govern it. Runs as loop-implement step 2.
configure
Set up dev-loop's capability-role tool profile — map knowledge (your domain wiki / MCP), verify (your project's test/build/QA command), explore (code search), tacit (past incidents), and design (Figma/visual spec) to the actual tools this environment has, then write /.claude/dev-loop/tools.json (global) or…
wiki-ingest
Add one verified lesson or edge case to the bundled wiki. Route it to the right domain and category, merge into an existing page before creating a new one, and enforce sourcing and positive-guidance rules. Use when capturing a documented best practice or a production edge case.
wiki-lint
Health-check the bundled wiki. Detect unsourced claims, bare prohibitions, broken links, index and page trigger mismatches, vague qualifiers, oversized pages, stale dates, and model-era re-verification candidates, then fix them; reports a numeric health score (0-100). Use to keep the wiki healthy before drift…