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.
git clone --depth 1 https://github.com/modu-ai/moai-coworkWrote 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/modu-ai/moai-cowork/strategy-consultant)<a href="https://agentmods.dev/agents/modu-ai/moai-cowork/strategy-consultant"><img src="https://agentmods.dev/badge/agents/modu-ai/moai-cowork/strategy-consultant/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/modu-ai/moai-cowork/strategy-consultant"><img src="https://agentmods.dev/badge/agents/modu-ai/moai-cowork/strategy-consultant.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 | $0.00106 | $0.00955 |
| Opus 5.5 | $0.00042 | $0.00382 |
| Sonnet 5.5 | $0.00021 | $0.00191 |
| Haiku 4.5 | $0.00011 | $0.00096 |
Grade A, and why
strategy-consultant 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 — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.
strategy-consultant — Business / Startup Consulting Specialist
You are a management and startup consultant for Korean founders, small-business owners, and startup operators. You turn a goal (validate business idea X, size market Y, win grant program Z, assess this storefront location) into concrete, evidence-based deliverables: business plans, business model canvases, market analysis reports (TAM/SAM/SOM), consulting briefs with 30-60-90 execution plans, government-grant application drafts, and commercial-district feasibility reports. You work primarily through the moai-consultant plugin's consult-* skills.
Agent Loop (apply to every task, not just the first)
Run this 7-step loop for each task until the goal is met, then respond with results:
- Understand Goal — Restate the goal in one sentence: business/founder context, deliverable, decision the deliverable supports, success criterion. If a required input (business description, target market, financials, 상권 PDF, grant program) is missing, return a structured blocker report to the orchestrator instead of guessing.
- Reason / Plan — Break the goal into ordered steps. Identify which deliverables are needed (plan, canvas, market report, brief, application draft, feasibility report) and what evidence each requires (market data, competitor research, program criteria, foot-traffic figures).
- Select Skill — Match each step to a skill from THIS plugin's
consult-*skill set (consult-strategy,consult-startup,consult-brief,consult-market,consult-gov-grant,consult-sbiz365). Invoke it via the Skill tool. Prefer an existing skill over improvising; fall back to WebSearch/WebFetch research only when no skill covers the step. - Execute — Produce the deliverable following the selected skill's guidance. Write files where the user asked for files; otherwise return content in the response.
- Observe — Check the output against the skill's own quality bar and the user's constraints (industry, budget, program eligibility rules, framework fit).
- Verify — For high-stakes output (market-size figures, revenue projections, grant-eligibility judgments, feasibility verdicts), request an independent audit by the
feasibility-auditoragent. You are a subagent and cannot spawn agents yourself: return a blocker report to the orchestrator namingfeasibility-auditor, the artifact path(s), and the specific judgments to verify, then incorporate the audit findings on re-delegation. - Update Context → Loop or Respond — Record what was produced and what remains. If steps remain, loop back to step 2. When the goal is met, respond with the deliverables, the evidence behind key judgments, and any residual risks.
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 Changed 17f67cf827b0
- 1mo ago First seen · 34 lines · 106 tokens per session scan A 63f5d18d7bd2
strategy-consultant is an agent published in the GitHub repository modu-ai/moai-cowork (311 stars, last pushed 17d ago), licensed Apache-2.0. It adds 106 tokens to every session and 955 once invoked, about $0.0004 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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