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/deploynpx skills add rakib-nyc/skillassay --skill deploygit 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/deploy)<a href="https://agentmods.dev/skills/rakib-nyc/skillassay/deploy"><img src="https://agentmods.dev/badge/skills/rakib-nyc/skillassay/deploy.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 | $0.00023 | $0.00035 |
| Opus 5 | $0.00012 | $0.00017 |
| Sonnet 5 | $0.00005 | $0.00007 |
| Haiku 4.5 | $0.00002 | $0.00003 |
Grade A, and why
deploy 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 3d 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
Deploy (claude)
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.
- 3d ago First seen · 6 lines · 23 tokens per session scan A 851f5a5f0af9
deploy is a skill published in the GitHub repository rakib-nyc/skillassay (2 stars, last pushed 18d ago), licensed Apache-2.0. It adds 23 tokens to every session and 35 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.
Other skills, from other repositories
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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.