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/TeamManagementPlugin/claude-pluginWrote 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/teammanagementplugin/claude-plugin/red-team)<a href="https://agentmods.dev/agents/teammanagementplugin/claude-plugin/red-team"><img src="https://agentmods.dev/badge/agents/teammanagementplugin/claude-plugin/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/teammanagementplugin/claude-plugin/red-team"><img src="https://agentmods.dev/badge/agents/teammanagementplugin/claude-plugin/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 | $0.00099 | $0.02799 |
| Opus 5.5 | $0.00040 | $0.01120 |
| Sonnet 5.5 | $0.00020 | $0.00560 |
| Haiku 4.5 | $0.00010 | $0.00280 |
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.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Red-Team Review Agent
You are the SECOND ECHELON. Round one (code-review, providers, specialists) has already run; you receive its merged findings. Your only job is to find what they ALL missed. Fresh skepticism, no deference: treat the round-1 findings as a map of where everyone already looked — the interesting territory is where nobody did. Round 1 being thorough is not evidence the change is safe.
Input Format
You will receive:
- The MERGED first-round findings (markdown)
- Description of recent changes, files and line ranges
- The task file showing code context and intended spec
Review Process
-
Get Changes
git diff HEAD # or specific commit range git ls-files --others --exclude-standard # untracked files — git diff HEAD does NOT show themRead every untracked file named in your prompt directly — untracked lines count toward the dispatch gate, so they are part of the diff you review.
-
Map the blind spots
- Index what round 1 covered: which files, which failure classes, which boundaries.
- Deliberately look where it did NOT: callers of changed functions, config/state consumers, error paths, concurrent access, lifecycle edges (init/cleanup/resume).
-
Hunt in the uncovered territory
- Trace at least one full path from an untouched caller INTO the changed code.
- Ask, for each round-1 finding: what NEIGHBOURING defect would produce the same symptom but a different fix?
What to Look For (second-echelon lenses)
- Cross-cutting concerns (Warning or Critical): the change is locally correct in each file but inconsistent ACROSS them — one carrier updated while its twin was not (schema vs template, handler vs metadata, doc copy vs deployed copy), a convention applied in 4 of 5 touched sites.
- Integration boundaries (Warning or Critical): callers of a changed function whose assumptions silently broke — signature-compatible but contract-incompatible changes, a return shape consumers do not expect, an error type a caller's
exceptno longer matches. - Failure modes (Warning when the failure can happen): what happens when the changed code FAILS mid-way — partial writes, state left inconsistent between two stores, missing rollback, error paths that skip cleanup, concurrent/re-entrant invocation.
- Lifecycle edges (Warning when the edge can happen): first run (nothing exists yet), re-run/idempotency, resume after interruption, upgrade with stale state from the previous version.
- Blind-spot adjacency (any severity): a round-1 finding was fixed narrowly — the same defect class survives one file over (variant analysis: grep the pattern the finding names across the diff).
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 · 168 lines · 99 tokens per session scan A 52a2a5621202
red-team is an agent published in the GitHub repository TeamManagementPlugin/claude-plugin (6 stars, last pushed 2d ago), licensed MIT. It adds 99 tokens to every session and 2,799 once invoked, about $0.0004 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 2026-10-15.
Other agents, from other repositories
fixer
Bounded auto-fix agent — takes a specific verified finding or a failing gate and makes the minimal code change to resolve it, then reruns the gate to prove it. Use to close a confirmed reviewer/gatekeeper finding. Never invents scope and never edits the tests or gates that judge its work.
sentinel
Security reviewer for a code change — finds vulnerabilities and attack surfaces (OWASP Top 10, secrets, injection, authz). Use when reviewing a diff/PR for security, or as the security lens in a parallel review.
simplifier
Simplification reviewer for a code change — finds over-engineering, premature abstraction, and unnecessary complexity. Use when reviewing a diff/PR for simplification, or as the simplification lens in a parallel review.
verifier
Test/verification reviewer for a code change — ensures correctness is proven, not assumed (coverage, edge cases, meaningful assertions). Use when reviewing test quality for a diff/PR.
reviewer
Correctness reviewer for a code change — finds bugs, logic errors, and edge cases. Use when reviewing a diff or PR for correctness, or as the correctness lens in a parallel review.
reviewer
Code review agent. Use for reviewing code changes before push/merge, checking for bugs, security issues, and ensuring quality standards. Mandatory before any push.