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 qalmri-worksheetgit 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/qalmri-worksheet)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/qalmri-worksheet"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/qalmri-worksheet/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/qalmri-worksheet"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/qalmri-worksheet.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 | $0.00047 | $0.00324 |
| Opus 5 | $0.00023 | $0.00162 |
| Sonnet 5 | $0.00009 | $0.00065 |
| Haiku 4.5 | $0.00005 | $0.00032 |
Grade A, and why
qalmri-worksheet 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 11d 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
QALMRI Worksheet
Orchestration Pattern
- Call
paper-fetch; stop onnot_found. - Create
context/papers/<dir>/qalmri-worksheet/. - Call
qalmriwithsource_pathandmeta_path. - Write
01-qalmri.mdwith all six sections.
Only Inference is judgment. Question, Alternatives, Logic, Method, and Results record what the paper says. Leave unsupported slots empty with a reason rather than inventing content or broadening the method.
Frontmatter records sop: qalmri, tactic: qalmri-worksheet, written_at,
and slots_empty. Report the one-sentence question, empty slots, whether the
paper states alternatives, and the output path.
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.
- 11d ago First seen · 35 lines · 47 tokens per session scan A a18c0024c1f7
qalmri-worksheet is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (456 stars, last pushed yesterday), licensed Apache-2.0. It adds 47 tokens to every session and 324 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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