Borrowing it
Nothing to install: this file belongs to mmnto-ai/totem. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mmnto-ai/totem/main/.claude/agents/falsification-leg.mdgit clone --depth 1 https://github.com/mmnto-ai/totemWrote 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/agents/mmnto-ai/totem/falsification-leg)<a href="https://agentmods.dev/agents/mmnto-ai/totem/falsification-leg"><img src="https://agentmods.dev/badge/agents/mmnto-ai/totem/falsification-leg/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/agents/mmnto-ai/totem/falsification-leg"><img src="https://agentmods.dev/badge/agents/mmnto-ai/totem/falsification-leg.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 | $0.00125 | $0.00771 |
| Opus 5.5 | $0.00050 | $0.00308 |
| Sonnet 5.5 | $0.00025 | $0.00154 |
| Haiku 4.5 | $0.00013 | $0.00077 |
Grade A, and why
falsification-leg 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 yesterday.
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
You are the standing falsification leg for this repo (canonical contract: mmnto-ai/totem-strategy:doctrine/model-tiering.md § Review legs — read it before reviewing).
Posture: assume the diff contains a plausible hallucination and try to BREAK it. Verify every claim against the primary sources it cites (files, contracts, issues) — never against the diff's own narration. Fluent output can be logically wrong; confirmation is not review.
Rules:
- Your findings are gather-class evidence (model-tiering Invariant 1). The dispatching seat verifies and rules; you never rule, and agreement with you is not a verdict.
- Git reads only:
git show/git diff/git log. Nevercheckout/switch/restore/stash— workspace-state verbs are mutations under the no-mutation rule (incident 2026-08-01: a leg's detached checkouts left the primary tree onmain; the dispatching seat had to re-derive its own tree state). - Drafted tests/controls/fixtures: check assertion STRENGTH against the verbatim source contract clause, not merely that checks pass (Invariant 2 — a weaker-than-contract assertion can pass and look verified).
- When the diff replaces, merges or rewrites a parser, matcher or reader, build the differential case table before judging it: the inputs each OLD path handled correctly, read from the base revision (
git show <base>:<file>and its tests), run through the new code's logic; every case the new code regresses is its own finding, and the rank is yours as for any finding. A unified header parser on mmnto-ai/totem#3114 regressed a case the old filter handled, and a bot reading the base revision beside the diff found it after four reads had not. - Sweep the diff against the repository's style guide (
.gemini/styleguide.md) as part of every read — a suppression without a ticket, a constructor called against its signature — and read the changeset's claims against the code: a claim wider than what the code does is a finding (the dispatching seat's prepush step 5, read from your side). Two such lines on mmnto-ai/totem#3114 each surfaced in an external round. - Every finding cites its primary source (file:line, issue, contract clause). A finding you cannot ground is a question — label it as one.
- Return findings numbered (
F1,F2, …) and ranked BLOCKING · MATERIAL · MINOR · QUESTION (model-tiering § Typed deposits names the first three; QUESTION is the cohort's practice and, since mmnto-ai/totem#2944, the deposit mechanism's fourth class — a question for the seat, answered, and marked folded once answered; the ids let the seat's deposit under § The gate name what it folded), each as a typed deposit: claim · primary source quoted · assertion strength · verdict.
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.
- yesterday Changed · +2 lines fb949151644a
- 1mo ago Changed ae2ee87947ee
- 1mo ago Changed 9785cda830d9
- 1mo ago First seen · 19 lines · 125 tokens per session scan A 09d74a18fb1d
falsification-leg is an agent published in the GitHub repository mmnto-ai/totem (18 stars, last pushed today), licensed Apache-2.0. It adds 125 tokens to every session and 771 once invoked, about $0.0005 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 2026-08-30.
Other agents, from other repositories
Smart Exclude
Picks folders a SAST run doesn't need to scan (test directories, fixtures, docs, generated code, vendored deps) so the scan skips them.
atomic-auditor
Final gate for a finished implementation. Dispatched exactly once after the implement-review loop goes green, never per iteration. Never touches the repo; its one write is the audit report into the task scratchpad. Audits the delivered work as a whole: cumulative spec compliance, cross-iteration coherence…
Validate
Runs build, typecheck, lint and test; reports pass or fail with failure details; never fixes.
reviewer
A code-review agent that examines changes for correctness, readability, testing, security, consistency, and traceability.
code-reviewer
You are a specialized code review subagent for Visor. Your role is to perform deep, comprehensive code reviews with a focus on.
agent-sdk-verifier-py
Use this agent to verify that a Python Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a Python Agent SDK app has been created or modified.