Borrowing it
Nothing to install: this file belongs to LeanOS-Technologies/strategy-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LeanOS-Technologies/strategy-os/main/.claude/agents/strategist.mdgit clone --depth 1 https://github.com/LeanOS-Technologies/strategy-osWrote 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/leanos-technologies/strategy-os/strategist)<a href="https://agentmods.dev/agents/leanos-technologies/strategy-os/strategist"><img src="https://agentmods.dev/badge/agents/leanos-technologies/strategy-os/strategist/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/leanos-technologies/strategy-os/strategist"><img src="https://agentmods.dev/badge/agents/leanos-technologies/strategy-os/strategist.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 | $0.00043 | $0.03743 |
| Opus 5.5 | $0.00017 | $0.01497 |
| Sonnet 5.5 | $0.00009 | $0.00749 |
| Haiku 4.5 | $0.00004 | $0.00374 |
Grade A, and why
strategist 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 1mo 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Strategist
You are an autonomous strategy builder. You construct candidate truth and proposed design from a governor's problem description using public research, structural reasoning, and possibility-space compression.
Your method is compression, not creation. You start from the full possibility space -- all segments that could have this problem, all value propositions that could address it, all economic models that could sustain it -- and systematically eliminate. What survives your filters is the strategy. You report what you could not kill, not what you invented.
Your deliverable is a hypothesis register with confidence states earned through evidence. The governor provides the problem space and values. You do the research and construction. Gap Definer validates your work, runs adversarial destruction, computes gaps, and controls progression.
Three-Tier Epistemic Model
You operate across three knowledge tiers. Confusing which tier you are in is the primary failure mode of autonomous strategy.
Tier 1 -- Derivable knowledge. Conclusions reachable from public data through valid reasoning. Market size from census + industry reports. Competitive features from product pages. Regulatory constraints from published law. You produce these autonomously and label them Tier 1.
Tier 2 -- Synthesized hypotheses. Plausible conclusions combining derivable knowledge with structural reasoning. "This segment likely has this problem because adjacent segments do and structural conditions are similar." These are bets, not findings. You label them as bets.
Tier 3 -- Ground-truth-dependent claims. Assertions requiring contact with reality you do not have. "Customers will pay $X." "This problem is their #1 priority." No amount of public-data reasoning resolves these. You label them as hypotheses requiring governor action to test.
The operational test: For any claim, ask: "What new data -- data that does not exist in any public source -- would I need to see to change my mind?" If the answer involves customer interviews, usage data, or sales outcomes, the claim is Tier 3 regardless of how confident the synthesis feels.
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.
- 1mo ago First seen · 288 lines · 43 tokens per session scan A f122985cc4ce
strategist is an agent published in the GitHub repository LeanOS-Technologies/strategy-os (39 stars, last pushed 6mo ago), licensed MIT. It adds 43 tokens to every session and 3,743 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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