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 skills add moliver28/corpus-kb --skill corpus-analyzegit clone --depth 1 https://github.com/moliver28/corpus-kbWrote 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/moliver28/corpus-kb/corpus-analyze)<a href="https://agentmods.dev/skills/moliver28/corpus-kb/corpus-analyze"><img src="https://agentmods.dev/badge/skills/moliver28/corpus-kb/corpus-analyze/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/moliver28/corpus-kb/corpus-analyze"><img src="https://agentmods.dev/badge/skills/moliver28/corpus-kb/corpus-analyze.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 | $0.00051 | $0.00307 |
| Opus 5.5 | $0.00020 | $0.00123 |
| Sonnet 5.5 | $0.00010 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
corpus-analyze 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 yesterday.
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
Corpus Analyze
Help a novice pick the right analysis and understand the result. The engine has a method selector; this skill wraps it in plain language.
Steps
-
Collect the question in one sentence. Ask the user if it is unclear.
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Ask the engine to name the method:
corpus-kb analysis-select-methodFollow the engine's prompt for the question text. The output names a method and says why it fits.
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Explain the choice in plain English. One short paragraph: what the method does, what data it needs, what the result will mean.
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Suggest the next question the user can ask. Offer to run the method.
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If the engine names more than one method, present them as a short list. Say what each one answers and let the user pick.
Notes
- The user may say "I don't know what analysis to run". That is the main use of this skill. Start from their goal, not from method names.
- Keep claims about the data honest. If the corpus lacks the data a method needs, say so and propose ingesting more files (see corpus-ingest).
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.
- yesterday First seen · 34 lines · 51 tokens per session scan A 1196db2bcacc
corpus-analyze is a skill published in the GitHub repository moliver28/corpus-kb (1 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 307 once invoked, about $0.0002 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 2026-11-07.
corpus-analyze compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| corpus-analyzemoliver28/corpus-kb | Skill | 1 | yesterday | MIT | A | 51 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |