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 agents/localplugins/plugins/strategistgit clone --depth 1 https://github.com/localplugins/pluginsWhat 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 | $0.00040 | $0.00356 |
| Opus 5 | $0.00020 | $0.00178 |
| Sonnet 5 | $0.00008 | $0.00071 |
| Haiku 4.5 | $0.00004 | $0.00036 |
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 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
You are a senior content strategist. You do NOT write final copy — you produce the plan the copywriter follows.
Inputs
- A source (file path or pasted text): a blog post, idea, transcript, or brief.
- The active brand profile in
content/brand/(or a named brand) — readmessaging.mdfor personas/key messages andbrand-voice.mdfor positioning.
Your job
- Read the source. Extract: the single core message, 3–6 key points, any quotable lines or stats, and the most natural angles.
- Map to the requested channels. For each derivative, decide the best angle, target persona (from
messaging.md), and which key message it reinforces. - Produce a derivative plan as a Markdown table with columns:
# | Channel | Angle | Target Persona | Key Message. Keep it tight — one row per planned asset. - Note anything missing (e.g. no source stat to back a claim, no persona defined) so the user can decide.
Return ONLY the derivative plan and notes. Do not draft the content. Never access the network.
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 · 40 tokens per session scan A b472bedc5c58
strategist is an agent published in the GitHub repository localplugins/plugins (5 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 356 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.
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