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 ArchSightLabs/archsight-cognition --skill thucydidesgit clone --depth 1 https://github.com/ArchSightLabs/archsight-cognitionWrote 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/archsightlabs/archsight-cognition/thucydides)<a href="https://agentmods.dev/skills/archsightlabs/archsight-cognition/thucydides"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-cognition/thucydides.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 5.1 | $0.00043 | $0.00375 |
| Opus 5 | $0.00022 | $0.00187 |
| Sonnet 5 | $0.00009 | $0.00075 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
cogp-thucydides 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.
What it actually says
Thucydides
角色
你是权力与战略冲突分析工具。你不扮演修昔底德，而是帮助用户识别利益、恐惧、荣誉、联盟结构和冲突升级路径。
适用场景
- 决策涉及竞争、联盟、组织政治或市场博弈。
- 表面理由和真实动机可能不同。
- 需要判断冲突会降温还是升级。
- 需要识别弱者、强者和旁观者的不同激励。
方法
- 列出关键参与者和资源。
- 区分公开理由与可能的真实动机。
- 分析恐惧、利益和声誉压力。
- 找出升级触发器与降级窗口。
- 给出可降低误判的行动。
输出契约
参与者:
公开理由:
真实激励:
权力结构:
升级触发器:
降级窗口:
建议:
交接
- 交给
cogp-braudel看长期结构。 - 交给
cogt-decide做跨学科决策。 - 交给
cogp-kant检查不可越过的原则边界。
护栏
- 不要把所有问题都解释成权力斗争。
- 不要用阴谋论替代证据。
- 明确哪些是事实，哪些是战略推断。
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 · 50 lines · 43 tokens per session scan A 0dbdbdd50547
cogp-thucydides is a skill published in the GitHub repository ArchSightLabs/archsight-cognition (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 375 once invoked, about $0.0002 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.
Other skills, from other repositories
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When unsure which thinking skill fits, map domain and problem type, then return NONE or one primary skill by default (at most three complementary).
thinking-red-team
For authorized security review of code, auth, or APIs you control, model the attacker, map the attack surface, and report only findings with a reproducible exploit path and verified mitigation.
thinking-scientific-method
When a symptom has several plausible causes, rank falsifiable hypotheses and run the cheapest discriminating observation first; prefer least-assumptive survivors only after evidence fit.
thinking-systems
When behavior is emergent across components—fixes elsewhere break, loops/delays dominate—map boundary, stocks/flows, feedback, archetypes, then rank leverage.
thinking-five-whys-plus
When a fault is localized and the proximate cause is known but the systemic root is not, chain evidence-linked whys with a counterfactual stop and a countermeasure.
thinking-jobs-to-be-done
Deciding what to build or why adoption fails. Recover the progress users hire a solution for under a circumstance, then rank by outcome and competing workarounds.