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 mtarcure/claude-vibe-squad --skill multi-stance-audit-fanoutgit clone --depth 1 https://github.com/mtarcure/claude-vibe-squadWrote 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/mtarcure/claude-vibe-squad/multi-stance-audit-fanout)<a href="https://agentmods.dev/skills/mtarcure/claude-vibe-squad/multi-stance-audit-fanout"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/multi-stance-audit-fanout/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/mtarcure/claude-vibe-squad/multi-stance-audit-fanout"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/multi-stance-audit-fanout.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 | $0.00069 | $0.01560 |
| Opus 5.5 | $0.00028 | $0.00624 |
| Sonnet 5.5 | $0.00014 | $0.00312 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
multi-stance-audit-fanout 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
multi-stance-audit-fanout
Stance-based audit fan-out. Eight specialist personas read the same Solidity source through
different mental models; findings are then deduplicated by group key with composite-chain
detection. Distinct from evm-audit-flow (tool pipeline) — this fans out human-style review
across audit lenses to catch logic bugs no detector finds.
Orchestration model (read first). This is a Chrono-orchestrated fan-out. Workers
NEVER self-spawn, launch a model CLI, or dispatch sub-agents — that is Chrono's job. A
security-analyst worker does NOT run the eight stances itself. Instead this skill defines (a)
the stance roster + briefs, (b) the source bundle, and (c) the dedup/promotion method, so a
worker can either surface the fan-out as a need (## NEEDS FROM CHRONO: dispatch the 8 stance packets over <bundle>) or, when acting AS the Chrono-appointed coordinator, dedup the
returned stance outputs. Chrono dispatches N stance packets on the board rail; a coordinator
role dedups and writes the single consolidated result.
When to use
- A contract has passed
evm-audit-flowstatic + symbolic passes but still needs logic-bug coverage no detector catches. - The target is small enough (≤2k nSLOC) for eight readers to cover end-to-end.
- You want stance diversity (8 lenses, 1 model) cheaply, before paying for model diversity (a full multi-model fan-out).
- Skip when a fresh equivalent report already exists; do not duplicate.
Stance roster
Each stance gets the SAME source bundle plus its own role brief. The eight stances are:
- vector-scan — sweep known vuln classes (reentrancy, oracle manip, signature replay, storage collision, delegatecall hijack, slippage, sandwich, MEV).
- math-precision — rounding direction, decimal scaling, fixed-point overflow, division before multiplication, dust accumulation, precision loss across token decimals.
- access-control — role surface, two-step transfer correctness, initializer reentrancy, modifier ordering, bypass via internal-call routing.
- economic-security — incentive design, MEV extraction, fee accrual paths, redemption griefing, donation attacks, rebalance arbitrage, liquidation race conditions.
- execution-trace — pick the top 3 fund-flow paths, single-step from entry to settlement, note every state read/write/external call along the way; chase reachability not patterns.
- invariant — derive invariants the protocol should hold (
totalSupply == sum(balances),kfor AMMs, collateralization ratio, share-to-asset monotonicity), then look for paths that break each one. - periphery — ERC-20/721/777 quirks, fee-on-transfer, rebasing, missing return values,
safeTransfergaps,permitfront-running, callback re-entry surfaces. - first-principles — ignore checklists; ask "what is this contract trying to do, and what would I do as the attacker if I had infinite time?" Capture novel/unnamed bug classes.
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 · 102 lines · 69 tokens per session scan A fb0d7177cae6
multi-stance-audit-fanout is a skill published in the GitHub repository mtarcure/claude-vibe-squad (165 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,560 once invoked, about $0.0003 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 2026-09-19.
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