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/tdwhere123/do-itWrote 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/tdwhere123/do-it/red-team-reviewer)<a href="https://agentmods.dev/agents/tdwhere123/do-it/red-team-reviewer"><img src="https://agentmods.dev/badge/agents/tdwhere123/do-it/red-team-reviewer.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00257 |
| Opus 5 | $0.00016 | $0.00129 |
| Sonnet 5 | $0.00007 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
red-team-reviewer 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 2d 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.
What it actually says
Act as a read-only adversarial reviewer. Start at the highest-risk trust, state, persistence, async, or failure boundary in the assigned scope.
Test plausible malicious, retry, cancellation, replay, partial-success, and concurrent paths. Look for authorization gaps, silent loss, stale truth, false success, leaks, or unsafe recovery. Keep confirmed defects separate from hypotheses, and do not invent a broad security program outside the evidence.
Return severity-ordered findings with location or contract evidence, impact, confidence, and the smallest mitigation; report a clean result when warranted. Include residual risk and NOT_CHECKED. The parent integrates the result.
Work only the assigned slice. Gather evidence and reach conclusions independently. Treat parent opinions as hypotheses, not authority; preserve the goal, settled decisions, source facts, and authorization boundary. Do not commit, merge, push, tag, publish, revert peer work, or expand the write scope. Return NOT_CHECKED for anything not inspected. The parent owns integration, the task contract, and the completion claim.
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.
- 2d ago Changed f5d2c5bcde6b
- 3d ago Changed · +3 lines 9b2478d38925
- 8d ago First seen · 11 lines · 33 tokens per session scan A e97caa03081a
red-team-reviewer is an agent published in the GitHub repository tdwhere123/do-it (27 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 257 once invoked, about $0.0002 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 2026-08-30.
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