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 coherence-diagnosisgit 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/coherence-diagnosis)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/coherence-diagnosis"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/coherence-diagnosis/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/coherence-diagnosis"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/coherence-diagnosis.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 | $0.00032 | $0.00756 |
| Opus 5 | $0.00016 | $0.00378 |
| Sonnet 5 | $0.00006 | $0.00151 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade A, and why
coherence-diagnosis 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coherence Diagnosis
Purpose
Audit an existing comparison matrix for logical consistency. Detect cycles, quantify transitivity violations, localize problematic judgments, and recommend corrections. Essential as a quality gate before finalizing any ranking.
When to use
- Existing comparison data needs validation
- Suspicion of inconsistent judgments
- Pre-finalization quality gate
- AHP consistency ratio check required
- Debugging unexpected ranking results
Budget
| Resource | Allocation |
|---|---|
| Cycle detection | Full matrix scan |
| Consistency metric | CR < 0.1 (AHP) or transitivity > 90% |
| Repair comparisons | ≤ 20% of original comparisons |
| Iterations | 1-3 audit-repair cycles |
State Ledger
comparison_matrix: {} # pair → winner
candidates: []
consistency_metrics: {cr: null, transitivity: null, cycles_count: 0}
cycles: [] # [[a>b, b>c, c>a], ...]
problematic_pairs: [] # pairs involved in most cycles
repair_log: [] # [{pair, old_judgment, new_judgment, reason}]
iteration: 0
Available Tactics
- consistency-audit-loop — detect, localize, repair, recompute
Available SOPs
- cycle-detection
- inconsistency-localization
- comparison-executor (for re-comparison)
- rating-update (for recomputation)
- convergence-check
- ranking-synthesis
Execution Guidance
- Run cycle-detection on full comparison matrix
- Compute consistency metrics (CR, transitivity score)
- If consistent (CR < 0.1): proceed to ranking-synthesis
- If inconsistent: run inconsistency-localization
- Re-compare problematic pairs via comparison-executor
- Recompute ratings and re-check consistency
- Repeat until consistent or repair budget exhausted
- Document all repairs in audit trail
Output Format
diagnosis:
consistency_ratio: 0.04
transitivity_score: 0.97
cycles_found: 1
cycles_resolved: 1
repairs_made: 2
audit_trail:
- {pair: ["b", "d"], original: "b", revised: "d", reason: "..."}
final_ranking_valid: true
method: consistency-ratio
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 · 109 lines · 32 tokens per session scan A 053c87b3ab37
coherence-diagnosis is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (464 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 756 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 2026-09-03.
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