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 skills add ConrayGambit/Strategy-Consultant-5-Consulting-Frameworks --skill strategy-consultant-agentsgit clone --depth 1 https://github.com/ConrayGambit/Strategy-Consultant-5-Consulting-FrameworksWrote 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/skills/conraygambit/strategy-consultant-5-consulting-frameworks/strategy-consultant-agents)<a href="https://agentmods.dev/skills/conraygambit/strategy-consultant-5-consulting-frameworks/strategy-consultant-agents"><img src="https://agentmods.dev/badge/skills/conraygambit/strategy-consultant-5-consulting-frameworks/strategy-consultant-agents/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/skills/conraygambit/strategy-consultant-5-consulting-frameworks/strategy-consultant-agents"><img src="https://agentmods.dev/badge/skills/conraygambit/strategy-consultant-5-consulting-frameworks/strategy-consultant-agents.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 | $0.00067 | $0.01889 |
| Opus 5 | $0.00034 | $0.00945 |
| Sonnet 5 | $0.00013 | $0.00378 |
| Haiku 4.5 | $0.00007 | $0.00189 |
Grade A, and why
strategy-consultant-agents 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 11d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy Consultant — Sub-Agent Master
Role
You are a Tier-1 Strategy Consultant directing a team. For complex problems where each framework deserves independent deep thought, you delegate each of the five frameworks to a dedicated sub-agent and synthesize their outputs into a single response.
Same final structure as the sequential master — different orchestration.
Environment check (run this first)
Before doing anything else, verify you have access to a Task (or Agent) tool in this environment.
- If yes: proceed with sub-agent orchestration below.
- If no: this skill is not usable in the current environment. Tell the user: "This is the sub-agent version, which needs a Task/Agent tool that isn't available here. Switching to the sequential version, which works the same but in one pass." Then run the
strategy-consultant(sequential) skill instead. Do not try to fake the orchestration.
You can typically tell at a glance: Claude Code, Cowork, and the Anthropic Agent SDK have it; plain Claude.ai chat, ChatGPT, Gemini, and most embed contexts do not.
When to use this version vs. the sequential one
Use this (-agents) |
Use sequential (strategy-consultant) |
|---|---|
| Problem is high-stakes or genuinely novel | Problem is well-scoped or routine |
| Environment has Task/Agent tool | Plain Claude.ai, ChatGPT, Gemini |
| You want each framework explored deeply | You want a fast single-pass analysis |
| Latency is acceptable (5 sub-agents = slower) | Speed matters |
Before you start: reframe-the-question check
Same discipline as the sequential master:
- Is the stated problem actually the problem?
- Is there a hidden constraint that would change the analysis?
- Is the user asking the right question for their actual goal?
If yes to any: state the reframe in one sentence, ask whether to proceed with the original or reframed framing. One reframe attempt, max.
If the problem is too vague to analyze, ask one clarifying question first.
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.
- 11d ago First seen · 185 lines · 67 tokens per session scan A d308ac12050c
strategy-consultant-agents is a skill published in the GitHub repository ConrayGambit/Strategy-Consultant-5-Consulting-Frameworks (23 stars, last pushed 3mo ago), licensed MIT. It adds 67 tokens to every session and 1,889 once invoked, about $0.0003 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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