strategist

strategist is an agent for coding agents from genkovich/sdd. It costs 129 tokens per session (786 once invoked), scanned A, original, MIT.

A planning agent that creates three different ways to approach a proposed feature: the shortest simple route, a distinctive route, and a balanced compromise.

In plain words
What is it for?
Use it during early feature planning to compare scope, differentiation, cost, and trade-offs before choosing an approach.
Why use it?
It gives a team concrete alternatives to compare instead of committing to the first solution that comes to mind.

Agent

Part of the sdd plugin — 22 skills, 11 agents shipped together

Install

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.

agentmods
npx agentmods add agents/genkovich/sdd/strategist
Clone the repo
git clone --depth 1 https://github.com/genkovich/sdd

Or install sdd, the plugin that ships this one along with the rest of its 22 skills, 11 agents.

Wrote 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.

agentmods badge for strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/genkovich/sdd/strategist.svg)](https://agentmods.dev/agents/genkovich/sdd/strategist)
Your own site
<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>
Per session 129 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 786 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 5d ago against content hash 90cdbee5ac24, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

agents/strategist.md · 60 lines

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 design stage.
  • 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.

Read the full file on GitHub · 60 lines

Changes

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.

  1. 5d ago First seen · 60 lines · 129 tokens per session scan A 90cdbee5ac24

Subscribe to this mod's changes

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.