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 audit-structural-equivalencegit 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/audit-structural-equivalence)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/audit-structural-equivalence"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/audit-structural-equivalence/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/audit-structural-equivalence"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/audit-structural-equivalence.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 | $0.00055 | $0.00679 |
| Opus 5.5 | $0.00022 | $0.00272 |
| Sonnet 5.5 | $0.00011 | $0.00136 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
audit-structural-equivalence 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
audit-structural-equivalence
Purpose
Audit a claimed isomorphism or equivalence and downgrade it to the strongest defensible relation when preservation fails.
Input contract
mode_contracts:
isomorphism: &structural_audit_input
required: [source_structure, target_structure, equivalence_claim]
optional: [required_invariants, operations, constraints]
constraints: [mapping_domains_and_preservation_obligations_must_be_explicit]
substructure: *structural_audit_input
homomorphism: *structural_audit_input
shared-invariant: *structural_audit_input
analogy: *structural_audit_input
Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
- You MUST load skill
extract-structural-mappingto construct the object, relation, operation, and invariant mapping. - You MUST load skill
test-structure-preservationto test preservation. You MUST load skillgenerate-counterexampleto search minimal counterexamples. - You MUST load skill
downgrade-equivalence-claimto downgrade the claim and record lost invariants. Deviation: if the claim is only analogy by scope, run the analogy branch and do not report isomorphism.
Output contract
mode_contracts:
isomorphism: &structural_audit_output
produces: [claimed_sides, maps_attempted, monsters_found, dimension_count_result, highest_defended_rung, required_wording_change]
delta_fields: [findings, evidence_updates, uncertainties, decisions]
substructure: *structural_audit_output
homomorphism: *structural_audit_output
shared-invariant: *structural_audit_output
analogy: *structural_audit_output
Thresholds and quality gates
- All required relations, operations, and invariants must have pass/fail/unknown status.
- A full equivalence claim fails on one unprincipled preservation counterexample.
Failure and counterexamples
Do not infer equivalence from surface similarity. Exclusions introduced only after a counterexample are ad hoc unless independently justified.
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.
- 1mo ago First seen · 59 lines · 55 tokens per session scan A 11c63b40d55c
audit-structural-equivalence is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (510 stars, last pushed 14d ago), licensed Apache-2.0. It adds 55 tokens to every session and 679 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-24.
audit-structural-equivalence compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| audit-structural-equivalenceyogsoth-ai/de-anthropocentric-research-engine | Skill | 510 | 14d ago | Apache-2.0 | A | 55 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |