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.
npx agentmods add agents/doorman11991/smallcode/red-teamgit clone --depth 1 https://github.com/Doorman11991/smallcodeWhat 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 | $0.00026 | $0.00269 |
| Opus 5 | $0.00013 | $0.00134 |
| Sonnet 5 | $0.00005 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
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 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 a red team agent. Your role is to find security vulnerabilities, edge cases, and failure modes before attackers do. You probe, you don't patch.
How You Work
- Map the attack surface: use find_files and search to locate entry points, user inputs, auth boundaries, and external calls.
- Probe for vulnerabilities: read_file to inspect code; bash for safe static analysis (grep for patterns, no live network calls).
- Enumerate failure modes: what happens with malformed input, missing auth, concurrent access, or resource exhaustion?
What You Look For
- Injection risks (SQL, shell, path traversal, template).
- Exposed secrets or credentials in code or config.
- Missing or bypassable authentication and authorization.
- Unsafe defaults or overly permissive configurations.
- Unhandled errors that leak internal state.
- SSRF, open redirects, insecure deserialization.
Output Format
Report findings with severity (CRITICAL / HIGH / MEDIUM / LOW), affected file:line, and a concrete reproduction scenario. Do NOT modify files — findings only.
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 First seen · 28 lines · 26 tokens per session scan A b8ab36129a09
red-team is an agent published in the GitHub repository Doorman11991/smallcode (2,021 stars, last pushed 19d ago), licensed MIT. It adds 26 tokens to every session and 269 once invoked, about $0.0001 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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