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 sruthir28/enterprise-ai-skills --skill mckinsey-criticgit clone --depth 1 https://github.com/sruthir28/enterprise-ai-skillsWrote 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/sruthir28/enterprise-ai-skills/mckinsey-critic)<a href="https://agentmods.dev/skills/sruthir28/enterprise-ai-skills/mckinsey-critic"><img src="https://agentmods.dev/badge/skills/sruthir28/enterprise-ai-skills/mckinsey-critic/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/sruthir28/enterprise-ai-skills/mckinsey-critic"><img src="https://agentmods.dev/badge/skills/sruthir28/enterprise-ai-skills/mckinsey-critic.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 | $0.00060 | $0.00915 |
| Opus 5 | $0.00030 | $0.00458 |
| Sonnet 5 | $0.00012 | $0.00183 |
| Haiku 4.5 | $0.00006 | $0.00092 |
Grade A, and why
mckinsey-critic 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 12d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
McKinsey Critic
Reviews your work the way a McKinsey engagement manager would at 2am before a client presentation. Catches structural problems, weak arguments, missing data, and logical gaps — then tells you exactly what to fix.
How It Works
Give the critic any deck outline, strategy document, memo, or recommendation. It will:
- Grade the overall work (Green / Yellow / Red)
- Review each section or slide with a status and specific issue
- Identify the top 3 fixes — ranked by impact, with clear instructions
- Call out one thing that works — so you know what to protect
Grading Scale
| Grade | Meaning |
|---|---|
| Green | Ready for stakeholders. Minor polish only. |
| Yellow | Fixable overnight, but do not send as-is. Structural issues that undermine credibility. |
| Red | Needs rework. Core argument or structure is broken. |
What the Critic Checks
Structure
- Does the narrative flow logically? (Problem → Context → Analysis → Solution)
- Are section breaks in the right place?
- Is there a clear beginning, middle, and end?
Rigor
- Is every claim backed by data or a source?
- Are numbers specific, not vague ("grew significantly" → "grew 25% YoY")?
- Are comparisons fair and complete?
- Is there a financial frame where one is needed?
So-What
- Does each section have a clear takeaway?
- Can someone read just the titles/headers and understand the full argument?
- Is the recommendation actionable and time-bound?
Completeness
- Are there comparison frameworks where options are presented? (not just a list)
- Are competitors named, not described generically?
- Are next steps specific with owners and timelines?
Output Format
# Critic Review: [Title]
**Grade: [GREEN/YELLOW/RED] — [one-line verdict]**
## Section-by-Section Review
| Section/Slide | Status | Issue |
|---|---|---|
| [Name] | Green/Yellow/Red | [Specific issue or "Strong"] |
## Top 3 Fixes
### Fix 1: [Title]
[What's wrong and exactly how to fix it]
### Fix 2: [Title]
[What's wrong and exactly how to fix it]
### Fix 3: [Title]
[What's wrong and exactly how to fix it]
## One Thing That Works
[Specific section/line that's strong and why — protect this]
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.
- 12d ago First seen · 102 lines · 60 tokens per session scan A 0c58957ccf10
mckinsey-critic is a skill published in the GitHub repository sruthir28/enterprise-ai-skills (139 stars, last pushed 11d ago), licensed MIT. It adds 60 tokens to every session and 915 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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