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 Liberty91LTD/cti-skills --skill red-team-analysisgit clone --depth 1 https://github.com/Liberty91LTD/cti-skillsWrote 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/liberty91ltd/cti-skills/red-team-analysis)<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/red-team-analysis"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/red-team-analysis/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/skills/liberty91ltd/cti-skills/red-team-analysis"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/red-team-analysis.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 | $0.00054 | $0.00647 |
| Opus 5 | $0.00027 | $0.00324 |
| Sonnet 5 | $0.00011 | $0.00129 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade A, and why
red-team-analysis 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 9d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Red Team Analysis (Devil's Advocate)
When consensus is strong, this technique deliberately argues the opposing position. The goal is not to be contrarian for its own sake — it's to find genuine weaknesses in the prevailing analysis before they become blind spots.
When to Use
- Consensus is strong and unchallenged
- High-stakes assessment (wrong conclusion = significant harm)
- Analysis has been produced quickly under pressure
- The same team that collected also analysed (potential tunnel vision)
- Before publishing a product that will drive significant decisions
Procedure
Step 1: State the Prevailing Judgment
Write the current analytical consensus clearly and completely.
Step 2: Argue Against It (With Maximum Effort)
Deliberately and rigorously construct the best possible case AGAINST the prevailing judgment:
- What evidence is being overweighted?
- What alternative explanations exist for the same evidence?
- What evidence has been ignored or underweighted?
- What assumptions are vulnerable? (cross-reference with key-assumptions-check)
- What would a sophisticated adversary do to make us believe the prevailing judgment?
- What historical cases looked similar but turned out differently?
Step 3: Assess the Red Team Arguments
Honestly evaluate:
- Are any red team arguments compelling enough to change the judgment?
- Do they warrant lowering the confidence level?
- Do they identify intelligence gaps that should be filled?
- Do they suggest alternative hypotheses that should be tracked?
Step 4: Report
## Red Team Analysis: [Prevailing Judgment]
### Prevailing Judgment
[The assessment being challenged]
### Red Team Case
[The best case against the prevailing judgment]
#### Overweighted Evidence
- [Evidence that may be given too much weight, and why]
#### Alternative Explanations
- [Alternative explanations for the same evidence]
#### Ignored/Underweighted Evidence
- [Evidence pointing away from the prevailing judgment]
#### Vulnerable Assumptions
- [Assumptions the prevailing judgment depends on]
### Red Team Assessment
[How compelling is the red team case?]
- **Compelling**: Prevailing judgment should be revised
- **Partially compelling**: Confidence should be lowered
- **Not compelling**: Prevailing judgment stands, but the exercise identified useful intelligence gaps
### Recommendations
- [Actions: revise judgment, lower confidence, collect against gaps, track alternative hypothesis]
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.
- 9d ago First seen · 79 lines · 54 tokens per session scan A 9aefaf5ac66f
red-team-analysis is a skill published in the GitHub repository Liberty91LTD/cti-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 647 once invoked, about $0.0003 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 2026-09-03.
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