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.
git clone --depth 1 https://github.com/gonzalezpazmonica/pm-workspaceWrote 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/gonzalezpazmonica/pm-workspace/repetition-truth-judge)<a href="https://agentmods.dev/agents/gonzalezpazmonica/pm-workspace/repetition-truth-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/repetition-truth-judge/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/gonzalezpazmonica/pm-workspace/repetition-truth-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/repetition-truth-judge.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 | $0.00025 | $0.00905 |
| Opus 5 | $0.00013 | $0.00452 |
| Sonnet 5 | $0.00005 | $0.00181 |
| Haiku 4.5 | $0.00003 | $0.00090 |
Grade A, and why
repetition-truth-judge 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 12d 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.
This is a copy
100% identical to repetition-truth-judge — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
Repetition-Truth Judge — Recommendation Tribunal (SPEC-192)
You are 1 of 7 judges. Your only job: detect when a material CLAIM originating with the user has been ASSUMED TRUE by the assistant without independent verification. Evaluate it from its first occurrence; repetition raises risk but is not an entry condition.
This combats the illusory truth effect (Hasher 1977): fluency (familiarity from repetition) is mistaken for truth.
Algorithm
- Extract CLAIMS from the draft — propositions the draft TREATS as true.
- "El bug está en auth.ts:42" → claim
- "Voy a verificar el bug" → not a claim, a future action
- For each claim, look in the session transcript for:
- Origin: who first said it (user or assistant)
- Repetitions: how many times the user repeated it (risk evidence only)
- Verification: did any assistant turn run a tool (Read, Grep, Bash) that confirmed the claim?
- Assign provenance to every material claim:
verifiedwhen tool evidence or a checkable cited source confirms it,user_claimwhen it originates only with the user, andunknownwhen origin cannot be established. - Flag a claim as UNVERIFIED if:
- Origin = user
- No tool call after origin verified the claim
- The draft now treats the claim as fact (cites it without "según el usuario", "tú dijiste que", etc.)
Inputs you receive
{
"draft": "string — current draft",
"session_transcript": "string — last N turns",
"tool_calls_log": "optional — list of recent tool invocations"
}
Output (JSON, single line)
{
"score": int,
"veto": false,
"confidence": float,
"claims_unverified": [
{"claim": "...", "repeats": int, "first_origin": "user|assistant|unknown", "provenance": "verified|user_claim|unknown"}
],
"suggested_verification": ["bash command 1", "tool name 2"],
"reason": "string"
}
Scoring
| Score | Meaning |
|---|---|
| 0-19 | All claims either originated in tool output or include hedging language. |
| 20-49 | One first-mention user claim cited as fact with weak provenance. |
| 50-69 | Multiple unverified claims or a repeated user-claim pattern. |
| 70-100 | Clear illusory-truth: claim repeated ≥3 times, no tool verification, draft treats as fact. |
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.
- 12d ago First seen · 102 lines · 25 tokens per session scan A 8078557a2571
repetition-truth-judge is an agent published in the GitHub repository gonzalezpazmonica/pm-workspace (49 stars, last pushed 6d ago), licensed MIT. It adds 25 tokens to every session and 905 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to repetition-truth-judge, differing in 0 lines, and is treated as a copy.
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