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/rakib-nyc/skillassay/templatenpx skills add rakib-nyc/skillassay --skill templategit clone --depth 1 https://github.com/rakib-nyc/skillassayWrote 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/rakib-nyc/skillassay/template)<a href="https://agentmods.dev/skills/rakib-nyc/skillassay/template"><img src="https://agentmods.dev/badge/skills/rakib-nyc/skillassay/template.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 | $0.00017 | $0.00028 |
| Opus 5 | $0.00009 | $0.00014 |
| Sonnet 5 | $0.00003 | $0.00006 |
| Haiku 4.5 | $0.00002 | $0.00003 |
Grade A, and why
template-skill 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 5d 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.
This is a copy
100% identical to template-skill — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Insert instructions below
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.
- 5d ago First seen · 7 lines · 17 tokens per session scan A eb685d91de03
template-skill is a skill published in the GitHub repository rakib-nyc/skillassay (2 stars, last pushed 20d ago), licensed Apache-2.0. It adds 17 tokens to every session and 28 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to template-skill, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
ruleblast
Git diff for AI agent repository instructions. Shows the blast radius of AGENTS.md and CLAUDE.md changes. Use when Git cannot show which agent inherited the edit, a Codex vs Claude Code split, or why one path inherited a stack.
agent-rules
Rewrites or audits text so it reads plainly: answer first, no preamble, no hype adjectives, no marketing voice, sentences short enough to read once. Applies a named ruleset plus ASD-STE100 Simplified Technical English. Use when asked to clean up, tighten, de-slop, or humanise a draft, a README, a release note, a…
context-diet
Measure and compact an oversized agent-context file (CLAUDE.md, .cursorrules, AGENTS.md, a system prompt) without losing rules, or safely run reversible bounded, reversible ablation when intentional/aggressive context removal is requested. Triggers: "CLAUDE.md too big", "over the char limit", "context file too large"…
contextdocs
Your AI agent maintains its own context files — a Claude Code plugin with an AGENTS-first model that covers Codex, Copilot, Cursor, Gemini, and 3 more tools. Signal Gate filtering, Context Guard hooks, health scoring, and MEMORY.md promotion.
review
Review a change and report actionable findings.
readiness
Use when the user wants to analyze, audit, or assess their codebase for AI agent readiness. Also use for "readiness report", "how ready is my project", "analyze my codebase", "audit my repo", "check my setup", or "what should I improve".