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 yogsoth-ai/de-anthropocentric-research-engine --skill third-pass-deep-readgit clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engineWrote 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/yogsoth-ai/de-anthropocentric-research-engine/third-pass-deep-read)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/third-pass-deep-read"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/third-pass-deep-read/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/yogsoth-ai/de-anthropocentric-research-engine/third-pass-deep-read"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/third-pass-deep-read.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00113 | $0.00521 |
| Opus 5 | $0.00056 | $0.00260 |
| Sonnet 5 | $0.00023 | $0.00104 |
| Haiku 4.5 | $0.00011 | $0.00052 |
Grade A, and why
third-pass-deep-read 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 10d 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
Third Pass Deep Read
Keshav's third pass: sentence-by-sentence re-read with proofs/derivations included, attempting virtual re-implementation. The heaviest pass of the three — terminal step of the Keshav cascade.
Execution
Subagent — spawned via spawn-agent skill.
Why renamed from third-pass-verify (v1's name)
v1's version of this SOP (staged/wechat-article-v1/skills/third-pass-verify/) treated this as a "targeted re-check of uncertain_fields, no-op if none flagged" step — which, per the coverage audit's S2 finding, effectively deleted Keshav's real third pass (a 4-5+ hour re-implementation attempt) and replaced it with a cheap verification step serving v1's own pipeline. This v2 SOP restores the actual third pass; the rename to third-pass-deep-read marks that this is not the same behavior as the old third-pass-verify, even though both sit in the same cascade position.
Why Subagent
A genuine re-implementation attempt needs a context that can hold the full paper and reason through design alternatives without being anchored to how pass 2 already framed the contribution.
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. |
What ships with it
2 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.
- 10d ago First seen · 44 lines · 113 tokens per session scan A 66d75a4e888f
third-pass-deep-read is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (449 stars, last pushed today), licensed Apache-2.0. It adds 113 tokens to every session and 521 once invoked, about $0.0006 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 2026-08-30.
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