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 FlapPearLabs/zhihu-grabber-toolkit --skill corpus-anthologygit clone --depth 1 https://github.com/FlapPearLabs/zhihu-grabber-toolkitWrote 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/flappearlabs/zhihu-grabber-toolkit/corpus-anthology)<a href="https://agentmods.dev/skills/flappearlabs/zhihu-grabber-toolkit/corpus-anthology"><img src="https://agentmods.dev/badge/skills/flappearlabs/zhihu-grabber-toolkit/corpus-anthology/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/flappearlabs/zhihu-grabber-toolkit/corpus-anthology"><img src="https://agentmods.dev/badge/skills/flappearlabs/zhihu-grabber-toolkit/corpus-anthology.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 | $0.00066 | $0.04183 |
| Opus 5 | $0.00033 | $0.02091 |
| Sonnet 5 | $0.00013 | $0.00837 |
| Haiku 4.5 | $0.00007 | $0.00418 |
Grade A, and why
corpus-anthology 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 12d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
43 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.
- agents/openai.yaml 896 B
- lib/deepseek-tool-less.mjs 10 KB runs code
- lib/hierarchy.mjs 19 KB runs code
- lib/lmstudio-map-executor.mjs 6.2 KB runs code
- lib/lmstudio-projection.mjs 7.1 KB runs code
- lib/lmstudio-tool-less.mjs 11 KB runs code
- lib/openai-responses-tool-less.mjs 9.4 KB runs code
- lib/text.mjs 2.0 KB runs code
- lib/top-percent-selector.mjs 9.9 KB runs code
- LICENSE 1.1 KB
- package.json 444 B
- references/evidence-schema.md 4.4 KB
- references/handoff-schema.md 2.4 KB
- references/modes.md 4.0 KB
- references/state-and-resume.md 4.3 KB
- references/verification.md 8.3 KB
- scripts/archive.mjs 18 KB runs code
- scripts/chunk.mjs 15 KB runs code
- scripts/map.mjs 15 KB runs code
- scripts/popular-sample.mjs 4.3 KB runs code
- scripts/preflight-deepseek.mjs 1.1 KB runs code
- scripts/qualify-deepseek-runtime.mjs 2.0 KB runs code
- scripts/qualify-lmstudio-runtime.mjs 8.4 KB runs code
- scripts/qualify-openai-responses-runtime.mjs 1.4 KB runs code
- scripts/reduce.mjs 15 KB runs code
- scripts/render-final.mjs 5.5 KB runs code
- scripts/select.mjs 4.5 KB runs code
- scripts/stats.mjs 3.8 KB runs code
- scripts/verify.mjs 31 KB runs code
- t5lm-live-verdict.json 3.0 KB
- test/archive.test.js 15 KB runs code
- test/chunk.test.js 9.1 KB runs code
- test/deepseek-tool-less.test.js 11 KB runs code
- test/hierarchy-pipeline.test.js 14 KB runs code
- test/hierarchy.test.js 15 KB runs code
- test/lmstudio-map-executor.test.js 12 KB runs code
- test/lmstudio-tool-less.test.js 14 KB runs code
- test/openai-responses-tool-less.test.js 11 KB runs code
- test/render-final.test.js 3.5 KB runs code
- test/skill-behavior.test.js 7.6 KB runs code
- test/top-percent-pipeline.test.js 12 KB runs code
- test/top-percent-selector.test.js 9.4 KB runs code
- test/verify.test.js 32 KB runs code
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.
- 12d ago First seen · 251 lines · 66 tokens per session scan A ff1e1b62a641
corpus-anthology is a skill published in the GitHub repository FlapPearLabs/zhihu-grabber-toolkit (6 stars, last pushed yesterday), licensed AGPL-3.0. It adds 66 tokens to every session and 4,183 once invoked, about $0.0003 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.
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