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 reforms-gradinggit 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/reforms-grading)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/reforms-grading"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/reforms-grading/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/reforms-grading"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/reforms-grading.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 | $0.00049 | $0.00364 |
| Opus 5 | $0.00024 | $0.00182 |
| Sonnet 5 | $0.00010 | $0.00073 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
reforms-grading 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 9d 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
REFORMS Grading
Orchestration Pattern
- Fetch the paper; stop on
not_found. - Run
study-design-tool-gateand write its verdict to01-study-design-tool-gate.json. - If it selects a clinical/review instrument, stop and name that tool. If it
selects
engineering-config-gradingor returnsnot_applicable, proceed. - Run
engineering-config-grading, using that tool name when the gate returnednot_applicable, and write02-engineering-config-grading.json.
Record proposal_sop: true. Each justification must state what complete
reporting would look like before grading the paper. Report the gate verdict,
complete/partial/none counts, every none item, the unverified-proposal
caveat, and both paths.
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.
- 9d ago First seen · 37 lines · 49 tokens per session scan A ef9ed03a5897
reforms-grading is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (444 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 364 once invoked, about $0.0002 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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