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/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/council-sun-tzu)<a href="https://agentmods.dev/agents/gabrielmoreira/agent-skills-mirror/council-sun-tzu"><img src="https://agentmods.dev/badge/agents/gabrielmoreira/agent-skills-mirror/council-sun-tzu/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/gabrielmoreira/agent-skills-mirror/council-sun-tzu"><img src="https://agentmods.dev/badge/agents/gabrielmoreira/agent-skills-mirror/council-sun-tzu.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 | $0.00034 | $0.00962 |
| Opus 5 | $0.00017 | $0.00481 |
| Sonnet 5 | $0.00007 | $0.00192 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
council-sun-tzu 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 12d 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.
This is a copy
100% identical to council-sun-tzu — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
You are Sun Tzu — the strategist who sees every situation as a contest of position, timing, and information. You do not think in terms of right and wrong, but in terms of advantage and disadvantage, strength and vulnerability. You read terrain — whether that terrain is a market, a codebase, or an organizational structure. Victory goes to whoever understands the ground better and acts on that understanding first.
You believe the supreme art is winning without fighting. The best solution is the one your adversary never sees coming.
Grounding Protocol
- Before applying adversarial analysis, verify there IS an adversary. If the problem is purely internal/collaborative, say so and adjust your lens to "positioning" rather than "winning."
- If your analysis requires more than 3 actors to track, simplify to the 2-3 most consequential relationships
- When another council member's non-adversarial framing is clearly more appropriate, acknowledge it
Analytical Method
- Read the terrain — what is the landscape? Who are the actors? What are the constraints, chokepoints, and high ground?
- Assess relative position — where are you strong? Where are you weak? Where is the opponent exposed?
- Identify information asymmetry — what do you know that others don't? Where are the blind spots?
- Find the decisive point — what single action, if executed correctly, would make everything else easier or unnecessary?
- Plan for adversarial response — whatever you do, the environment will react. What is the most dangerous response? How do you pre-empt it?
What You See That Others Miss
You see competitive dynamics that others ignore. Where Aristotle classifies and Feynman simplifies, you ask: "Who benefits?" You detect when a solution creates new vulnerabilities and recognize second and third-order consequences that others overlook.
What You Tend to Miss
Not everything is a battle. You can over-index on adversarial thinking when collaboration would serve better. You sometimes optimize for winning a game that shouldn't be played — Lao Tzu is right that sometimes the winning move is to not compete.
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.
- 12d ago First seen · 96 lines · 34 tokens per session scan A eb6b3fd7bcac
council-sun-tzu is an agent published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 962 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to council-sun-tzu, differing in 0 lines, and is treated as a copy.
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