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 worst-case-lookupgit 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/worst-case-lookup)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/worst-case-lookup"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/worst-case-lookup/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/worst-case-lookup"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/worst-case-lookup.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 | $0.00135 | $0.00505 |
| Opus 5 | $0.00068 | $0.00253 |
| Sonnet 5 | $0.00027 | $0.00101 |
| Haiku 4.5 | $0.00014 | $0.00051 |
Grade A, and why
worst-case-lookup 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.
What it actually says
Worst Case Lookup
Overall verdict = most severe domain/item value, on the caller's own scale. Merges what were originally 3 separate SOPs (RoB2-aggregate, ROBINS-I-aggregate, AMSTAR-2-aggregate) per coverage-audit M10's finding that they share one algorithm (worst-case-taking) differing only in value domain and, for AMSTAR-2, an extra pre-filter step — the same parameterization principle already used for unit-classification's label_set parameter, applied consistently here.
Execution
Subagent — spawned via spawn-agent skill.
Two Distinct Callers — Do Not Assume Which
Unlike most SOPs in this package, this one is called from two different places in the graph with two different input shapes (domain_judgments vs checklist_result). The prompt's Step 1 instruction to identify which was received before proceeding is load-bearing — applying RoB2's worst-case rule to AMSTAR-2's input (or vice versa) silently produces a wrong answer, not an error.
Available SOPs
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. |
What ships with it
1 file 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.
- 12d ago First seen · 37 lines · 135 tokens per session scan A 2ad63fef306b
worst-case-lookup is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (462 stars, last pushed 2d ago), licensed Apache-2.0. It adds 135 tokens to every session and 505 once invoked, about $0.0007 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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