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 skills/ai-driven-dev/framework/08-three-amigosnpx skills add ai-driven-dev/framework --skill 08-three-amigosgit clone --depth 1 https://github.com/ai-driven-dev/frameworkWrote 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/ai-driven-dev/framework/08-three-amigos)<a href="https://agentmods.dev/skills/ai-driven-dev/framework/08-three-amigos"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/08-three-amigos.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00233 |
| Opus 5 | $0.00025 | $0.00117 |
| Sonnet 5 | $0.00010 | $0.00047 |
| Haiku 4.5 | $0.00005 | $0.00023 |
Grade A, and why
08-three-amigos 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
Three Amigos
flowchart LR
target([Epic or Story]) --> assess --> report([one role report])
reports([three role reports]) --> reconcile --> result([findings, conflicts, questions])
Actions
Run the flow above. Read only the next action file.
| Action | Does |
|---|---|
| assess | apply one requested lens to an Epic or Story |
| reconcile | reconcile three independent, caller-supplied reports |
Transversal rules
- Run one route per invocation.
- Never spawn, delegate, persist, or mutate.
- Treat roles as analytical lenses, not human authorities.
- Ground every finding and question in cited evidence; never invent a decision.
- Return proposals only; the caller decides what to do with them.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 31 lines · 50 tokens per session scan A 1215ca766be4
08-three-amigos is a skill published in the GitHub repository ai-driven-dev/framework (455 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 233 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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