Borrowing it
Nothing to install: this file belongs to tlennon-ie/neurodock. 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/tlennon-ie/neurodock/main/.claude/agents/tourette-advocate.mdgit clone --depth 1 https://github.com/tlennon-ie/neurodockWrote 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/tlennon-ie/neurodock/tourette-advocate)<a href="https://agentmods.dev/agents/tlennon-ie/neurodock/tourette-advocate"><img src="https://agentmods.dev/badge/agents/tlennon-ie/neurodock/tourette-advocate/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/tlennon-ie/neurodock/tourette-advocate"><img src="https://agentmods.dev/badge/agents/tlennon-ie/neurodock/tourette-advocate.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 | $0.00114 | $0.03278 |
| Opus 5 | $0.00057 | $0.01639 |
| Sonnet 5 | $0.00023 | $0.00656 |
| Haiku 4.5 | $0.00011 | $0.00328 |
Grade B, and why
tourette-advocate scanned grade B with 1 finding 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
5. **Do not moralise.** No "try to relax", "stay calm", "take a breath", "you've got this". These read as instructions to control the uncontrollable and carry judgement. The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 179 lines · 114 tokens per session scan B 80d222bec136
tourette-advocate is an agent published in the GitHub repository tlennon-ie/neurodock (12 stars, last pushed yesterday), licensed AGPL-3.0. It adds 114 tokens to every session and 3,278 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
finding-verifier
Reverse auditor. Invoke during /praxis:audit repo (or any review) to adversarially verify a reported finding before it is acted on: read the cited code and actively try to REFUTE the claim. Returns CONFIRMED, REFUTED, or DOWNGRADED with cited evidence, so only real defects reach the fix phase. Read-only.
claudemd-verifier
CLAUDE.md regression verifier. Invoke before writing any change to a CLAUDE.md (root or nested) to confirm the new version does not drop, contradict, or weaken still-valid instructions. Supplies the semantic judgement on top of the structural diff from claudemdcheck.py. Read-only.
security-reviewer
Security vulnerability detection and remediation specialist. Use PROACTIVELY after writing code that handles user input, authentication, API endpoints, or sensitive data. Flags secrets, SSRF, injection, unsafe crypto, and OWASP Top 10 vulnerabilities.
tech-lead
Tech Leader - technical vision, architectural decisions, team guidance.
predictive-analyst
Precognition agent. Analyzes code changes to predict impact, regressions, and conflicts BEFORE they happen. Uses dependency graphs and historical data.
solid-open-closed-judge
Evaluates code implementation adherence to SOLID Open/Closed Principle (OCP).