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 skills add telus-labs/stagecraft --skill red-teamgit clone --depth 1 https://github.com/telus-labs/stagecraftWrote 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/skills/telus-labs/stagecraft/red-team)<a href="https://agentmods.dev/skills/telus-labs/stagecraft/red-team"><img src="https://agentmods.dev/badge/skills/telus-labs/stagecraft/red-team.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00117 | $0.02565 |
| Opus 5 | $0.00059 | $0.01282 |
| Sonnet 5 | $0.00023 | $0.00513 |
| Haiku 4.5 | $0.00012 | $0.00257 |
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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Red Team a Change
A structured adversarial review that runs between build (Stage 4) and peer review (Stage 5). The reviewer in Stage 5 looks for what the code is doing wrong; the red team looks for what an adversary, a hostile user, a corner-case input, or a hostile environment can do to make the code fail.
When to use this
- Orchestrator invokes the
red-teamrole for stage-04c (this is the normal path). - User explicitly asks for an adversarial review of a change ("red team this", "find what could break").
When not to use this:
- Security-specific concerns (auth, crypto, PII, secrets) — that's the
security-engineerrole at stage-04b. - Code style, conventions, correctness review — that's the
reviewerrole at stage-05. - Test coverage gaps — that's QA at stage-06.
Phase 1 — Load context
Read in this order:
pipeline/brief.md— what was promised.pipeline/design-spec.md— how it was designed (including §Open Technical Questions and §Risk notes — those are red-team gold).pipeline/pr-backend.md,pipeline/pr-frontend.md,pipeline/pr-platform.md,pipeline/pr-qa.md— what was actually built.pipeline/pre-review.md(Stage 4a) — what's already been caught by lint / typecheck / dep audit.pipeline/security-review.md(Stage 4b, if present) — what security has already flagged. Do not re-find what they found.src/**— the code itself. Read the changed paths fully.
The point is to come in with full context. A red-team finding that the brief explicitly declared out-of-scope is wasted; flag it under noted_for_followup, not must-fix.
Phase 2 — Walk the attack surfaces
For each surface below, generate 2–5 concrete scenarios. Skip surfaces that don't apply (e.g. no input boundary for a pure config change). For each scenario produce: the exact input/state/sequence that reproduces it + the resulting failure.
2.1 — Input boundaries
For every external input (HTTP body, query param, file upload, env var, stdin, message-queue payload):
- Empty / null / missing / type-wrong / length-overflow
- Unicode edge cases: surrogate pairs, RTL marks, NULL bytes, BOM, normalization forms
- Injection vectors: SQL fragments, shell metacharacters, path traversal (
../), template engine syntax, XSS, SSRF urls - Numeric edges: 0, -1, MAX_INT, MIN_INT, Infinity, NaN, floating-point precision drift
- Date edges: epoch, far-future, DST boundaries, leap seconds, locale-specific format ambiguity
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.
- 8d ago First seen · 197 lines · 117 tokens per session scan A 1ed03abb9bba
red-team is a skill published in the GitHub repository telus-labs/stagecraft (6 stars, last pushed 2d ago), licensed MIT. It adds 117 tokens to every session and 2,565 once invoked, about $0.0006 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 2026-08-31.
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