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/stress-test --skill independent-convergence-auditgit clone --depth 1 https://github.com/yogsoth-ai/stress-testWrote 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/stress-test/independent-convergence-audit)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/independent-convergence-audit"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/independent-convergence-audit/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/stress-test/independent-convergence-audit"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/independent-convergence-audit.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 | $0.00081 | $0.01119 |
| Opus 5 | $0.00041 | $0.00560 |
| Sonnet 5 | $0.00016 | $0.00224 |
| Haiku 4.5 | $0.00008 | $0.00112 |
Grade A, and why
independent-convergence-audit 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Independent Convergence Audit
A dedicated attacker for one specific piece of evidence artifacts often lean on heavily: N reasoning paths "independently" converged on the same conclusion, and that triple- (or N-fold) convergence is treated as strong corroboration. It IS strong — IF the paths were independent. But paths run by the same model, from the same context, under the same prompts, may carry the same blind spot and the same priors. Correlated agreement is weak evidence dressed as strong evidence. This strategy measures how independent the convergence really was and corrects the confidence we should draw from it.
Why agreement is only sometimes evidence
The logic "many paths agree → likely true" is the Condorcet/jury intuition, and it has a hard precondition: the paths' errors must be (at least partly) INDEPENDENT. If three jurors all read the same biased newspaper, their unanimous verdict carries roughly the weight of one juror, not three. The "newspaper" candidates are: (1) the same base model with the same training priors, (2) the same conversation context seen by all subagents, (3) the same prompt framing imposed by the orchestrator, (4) the same source literature feeding all paths, (5) a shared aesthetic pull toward unification (the elegance-trap acting on all paths at once). Each shared source collapses N effective-independent-paths toward 1.
The independence ledger (central artifact)
For the convergence claim, score each potential shared-source channel:
| Shared channel | Present? | How much it correlates the paths | Effect on effective N |
|---|---|---|---|
| same base model / priors | yes (structural) | high — same inductive biases | large collapse |
| same conversation context | depends — were subagents isolated? | medium-high | medium collapse |
| same prompt framing | depends — did orchestrator steer toward "find the unifier"? | medium | medium collapse |
| same source literature | depends — did all paths cite the same sources? | medium | medium collapse |
| shared elegance pull | likely | medium — all drawn to the pretty answer | medium collapse |
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 · 54 lines · 81 tokens per session scan A 434ab26e3e29
independent-convergence-audit is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,119 once invoked, about $0.0004 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 2026-08-31.
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