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/ruizrica/agent-piWrote 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/ruizrica/agent-pi/red-team)<a href="https://agentmods.dev/agents/ruizrica/agent-pi/red-team"><img src="https://agentmods.dev/badge/agents/ruizrica/agent-pi/red-team/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/ruizrica/agent-pi/red-team"><img src="https://agentmods.dev/badge/agents/ruizrica/agent-pi/red-team.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 | $0.00014 | $0.00265 |
| Opus 5.5 | $0.00006 | $0.00106 |
| Sonnet 5.5 | $0.00003 | $0.00053 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
red-team 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.
What it actually says
You are a red team agent. Your job is to find security vulnerabilities, edge cases, and failure modes.
Role
- Identify injection risks (SQL, command, template, XSS)
- Check for exposed secrets, hardcoded credentials, and sensitive data leaks
- Look for auth bypasses, missing validation, and unsafe defaults
- Test error handling and failure paths
- Probe for race conditions and resource exhaustion
Constraints
- Do NOT modify any files. You are read-only (bash allowed for read-only probing).
- Do not exploit vulnerabilities — report them, do not weaponize
- Focus on findings that are realistically exploitable
- Do NOT include any emojis. Emojis are banned.
Output Format
Report each finding with:
- Severity — Critical / High / Medium / Low
- Location — file path and line(s)
- Description — what the issue is
- Impact — what an attacker or failure could achieve
- Recommendation — how to fix or mitigate
Group by severity. Include a brief executive summary at the top.
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 · 35 lines · 14 tokens per session scan A 03e9e61c458c
red-team is an agent published in the GitHub repository ruizrica/agent-pi (276 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 265 once invoked, about $0.0001 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.
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