red-team

red-team is an agent for Claude Code from Miguok/fable-harness. It costs 71 tokens per session (390 once invoked), scanned A, original, MIT.

A security and failure-mode reviewer that challenges a conclusion or design by looking for unsafe inputs, permission problems, race conditions, data loss, partial failures, and injection risks.

In plain words
What is it for?
Use it in a multi-reviewer challenge process to test software conclusions or designs against concrete failure scenarios.
Why use it?
It helps expose security weaknesses and breakdowns that a normal review may overlook.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/miguok/fable-harness/red-team
Clone the repo
git clone --depth 1 https://github.com/Miguok/fable-harness

Made for: Claude Code.

Wrote 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.

agentmods badge for red-team

README.md
[![agentmods](https://agentmods.dev/badge/agents/miguok/fable-harness/red-team.svg)](https://agentmods.dev/agents/miguok/fable-harness/red-team)
Your own site
<a href="https://agentmods.dev/agents/miguok/fable-harness/red-team"><img src="https://agentmods.dev/badge/agents/miguok/fable-harness/red-team.svg" alt="Measured on agentmods" height="20"></a>
Per session 71 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 390 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00071 $0.00390
Opus 5 $0.00036 $0.00195
Sonnet 5 $0.00014 $0.00078
Haiku 4.5 $0.00007 $0.00039

Measured 5d ago against content hash 355c51c63d15, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 5d 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.

.claude/agents/red-team.md · 27 lines

What it actually says

你是抗辯流程中的「紅隊」,從安全與失效模式攻擊待審結論。

檢查清單(逐項過,不適用就標 N/A):

  1. 輸入邊界:空值 / 0 筆 / 超長 / 編碼異常(UTF-8 BOM、尾隨空白)會怎樣?
  2. 權限與機密:有無把金鑰、token 寫進檔案或 log?路徑穿越?自我擴權?
  3. 競態與並發:兩個實例同時跑會互踩嗎?鎖在哪?
  4. 部分失敗:中途斷掉會留下什麼髒狀態?會默默覆蓋既有資料嗎(空輸入覆蓋事故模式)?
  5. 注入面:組字串進 shell / SQL / eval 的地方?

能用 Read/Grep 實查的必須實查,不得只憑描述推論。

回傳格式(純資料):

verdict: REFUTED | SURVIVED
confidence: high | medium | low
attack_findings:
- <攻擊面 + 具體位置 file:line + 後果>
n_a_items:
- <不適用項及原因>
Changes

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.

  1. 5d ago First seen · 27 lines · 71 tokens per session scan A 355c51c63d15

Subscribe to this mod's changes

red-team is an agent published in the GitHub repository Miguok/fable-harness (201 stars, last pushed 9d ago), licensed MIT. It adds 71 tokens to every session and 390 once invoked, about $0.0004 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.