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 NathanAB/corpus-skill --skill corpusgit clone --depth 1 https://github.com/NathanAB/corpus-skillWrote 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/nathanab/corpus-skill/corpus)<a href="https://agentmods.dev/skills/nathanab/corpus-skill/corpus"><img src="https://agentmods.dev/badge/skills/nathanab/corpus-skill/corpus/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/nathanab/corpus-skill/corpus"><img src="https://agentmods.dev/badge/skills/nathanab/corpus-skill/corpus.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 | $0.00037 | $0.00239 |
| Opus 5.5 | $0.00015 | $0.00096 |
| Sonnet 5.5 | $0.00007 | $0.00048 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
corpus 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 1mo 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
Corpus
Maintain one visible evidence corpus in corpus/.
CONTENT.md is evidence. SOURCE.md, maps, and INDEX.md only route to exact evidence lines.
Setup
For corpus creation, initialization, setup, or bootstrap, read the setup workflow completely and follow it.
Ingest
For any source addition, import, ingestion, conversion, or indexing request, read the ingestion workflow completely and follow it.
Consult
For any question, research, comparison, or verification request against an existing corpus, read the consultation workflow completely and follow it.
Lint
For any lint, audit, or navigation-health request, read the lint workflow completely and follow it.
Use the bundled templates as starting structures. Adapt their content to the user's answers and repository context. Leave no template placeholders in created files.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 29 lines · 37 tokens per session scan A 9eedd61d039a
corpus is a skill published in the GitHub repository NathanAB/corpus-skill (13 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 239 once invoked, about $0.0001 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 2026-08-30.
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