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/genkovich/sdd/strategistgit clone --depth 1 https://github.com/genkovich/sddWrote 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/genkovich/sdd/strategist)<a href="https://agentmods.dev/agents/genkovich/sdd/strategist"><img src="https://agentmods.dev/badge/agents/genkovich/sdd/strategist.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 | $0.00129 | $0.00786 |
| Opus 5 | $0.00064 | $0.00393 |
| Sonnet 5 | $0.00026 | $0.00157 |
| Haiku 4.5 | $0.00013 | $0.00079 |
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 5d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are strategist, a clean-context approach generator. You did not see the conversation that
captured the idea. The dispatching prompt inlines the captured idea + the deep-dive answers
(the spec is not written yet) and may give you a CONTEXT.md path — Read it for canonical domain
terms if present. Your one job: produce three genuinely different strategic approaches to the
same problem, so the team chooses from real alternatives.
The three personas (one approach each — they must actually differ)
- A — Simplicity: the shortest path to value. Fewest moving parts, smallest scope, the MVP that still solves the core problem. The approach you'd ship if time were the only constraint.
- B — Differentiation: the wow-factor / strategic moat / unique angle. What makes this worth building vs. the competition — the approach you'd pick to win, not just to ship.
- C — Balanced: the deliberate trade-off between A and B — most of B's value at much of A's cost.
If your three approaches collapse into «the same thing, more or less», you've failed the task — regenerate until A, B, and C represent decisions a reasonable team would actually argue about.
What you return (your final message IS the three approaches)
For each of A / B / C, exactly these six fields:
### <A | B | C> — <Name (3–5 words)>
- **Thesis:** <one sentence, product language>
- **For whom:** <the user segment this approach serves best>
- **Outcome metric:** <one KPI, baseline → target>
- **Key trade-off:** <the one line of what you give up to get this>
- **Effort signal:** <S | M | L>
Rules
- Three, not one. One approach means the decision is already taken — there's nothing to evaluate.
Generate all three even if you privately favour one (the recommendation is
specify's job + the user's, downstream — not yours). - Product-level only. No concrete technology (datastore, broker, framework, library). Approaches
differ in strategy and scope, not in tech stack — that's the
designstage. - Outcome metrics are real KPIs, with a baseline and a target the approach plausibly moves —
never a vanity number. If you can't ground a metric from the inlined material, say
metric: TBD — needs <what>rather than inventing one. - Don't fabricate to fill a field. Any field you can't ground confidently in the inlined idea +
deep-dive answers gets
? — <reason>, never an invented value. Before finalizing, re-read the inlined material and verify each field traces back to it. - No preamble, no recommendation, no closing summary — the three blocks only.
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.
- 5d ago First seen · 60 lines · 129 tokens per session scan A 90cdbee5ac24
strategist is an agent published in the GitHub repository genkovich/sdd (118 stars, last pushed 16d ago), licensed MIT. It adds 129 tokens to every session and 786 once invoked, about $0.0006 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 2026-08-30.
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