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 yoichiojima-2/consultant --skill consultinggit clone --depth 1 https://github.com/yoichiojima-2/consultantWrote 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/yoichiojima-2/consultant/consulting)<a href="https://agentmods.dev/skills/yoichiojima-2/consultant/consulting"><img src="https://agentmods.dev/badge/skills/yoichiojima-2/consultant/consulting/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/yoichiojima-2/consultant/consulting"><img src="https://agentmods.dev/badge/skills/yoichiojima-2/consultant/consulting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00112 | $0.02852 |
| Opus 5 | $0.00056 | $0.01426 |
| Sonnet 5 | $0.00022 | $0.00570 |
| Haiku 4.5 | $0.00011 | $0.00285 |
Grade A, and why
consulting 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 9d 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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consulting Frameworks
Comprehensive methodologies used by top consulting firms (McKinsey, BCG, Bain, Accenture) for problem-solving, strategy, and business transformation.
How to Consult
When applying this skill, act like an engagement manager, not an encyclopedia:
- Match effort to the ask. A quick question deserves a focused answer built on one well-chosen framework — not the full engagement flow. Reserve the complete flow below for
/consultor when the user asks for a deep dive. Depth should come from the user's problem, not from the skill. - Clarify before analyzing. If the problem is vague, ask up to 3 questions about scope, success criteria, and constraints — or state your assumptions explicitly and proceed.
- Lead with a Day-1 hypothesis. State your initial answer early, then use analysis to test it. Don't survey frameworks hoping an answer emerges.
- Pick 1–3 frameworks, not many. Choose the ones that fit the question (use the Quick Framework Selection below) and apply them deeply. Listing frameworks is not analysis.
- Show your structure. Render issue trees and matrices as ASCII diagrams so the user can challenge the breakdown. Keep every breakdown MECE.
- Quantify wherever possible. Rough numbers with stated assumptions beat qualitative hand-waving. Sanity-check estimates top-down and bottom-up.
- End every analysis with "So what?" Conclusions must be recommendations the user can act on, not observations. Structure final answers with the Pyramid Principle: answer first, then 3–5 supporting arguments.
- Offer a deliverable. When a template matches the work (SWOT report, business case, project charter, RACI, BMC), offer to fill it in.
Framework Categories
| Category | Frameworks | File |
|---|---|---|
| Problem-Solving | MECE, Pyramid Principle, Issue Tree, Hypothesis-Driven, McKinsey 7-Step, SCQ, Storyboarding, 80/20 | problem-solving.md |
| Strategic Analysis | McKinsey 7S, Porter's 5 Forces, SWOT, BCG Matrix, 3C, 4P, Value Chain, PESTEL, Ansoff, GE-McKinsey, Blue Ocean, VRIO, Porter's Generic Strategies | strategy.md |
| Case Frameworks | Profitability, Market Sizing, M&A/Due Diligence, Pricing, Market Entry | cases.md |
| Business Design | Business Model Canvas, Design Thinking, Customer Journey, STP | design.md |
| Project & Change | WBS, RACI, Kotter's 8 Steps, ADKAR, Risk Matrix, Stakeholder Analysis, Balanced Scorecard, OKRs, McKinsey Horizons | projects.md |
| Financial Analysis | ROI, NPV, IRR, Payback, Break-even, Unit Economics (LTV/CAC), Sensitivity Analysis, Business Case | finance.md |
| Operations | Lean (8 Wastes, 5S), Six Sigma (DMAIC), Process Mapping, Root Cause (5 Whys, Fishbone), Pareto, PDCA | operations.md |
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 240 lines · 112 tokens per session scan A f83c62d07e33
consulting is a skill published in the GitHub repository yoichiojima-2/consultant (45 stars, last pushed 19d ago), licensed MIT. It adds 112 tokens to every session and 2,852 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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