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 itseffi/agentic-os --skill mece-analysisgit clone --depth 1 https://github.com/itseffi/agentic-osWrote 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/itseffi/agentic-os/mece-analysis)<a href="https://agentmods.dev/skills/itseffi/agentic-os/mece-analysis"><img src="https://agentmods.dev/badge/skills/itseffi/agentic-os/mece-analysis/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/itseffi/agentic-os/mece-analysis"><img src="https://agentmods.dev/badge/skills/itseffi/agentic-os/mece-analysis.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 | $0.00027 | $0.00360 |
| Opus 5.5 | $0.00011 | $0.00144 |
| Sonnet 5.5 | $0.00005 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
mece-analysis 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.
What it actually says
MECE Analysis
Structure thinking using Mutually Exclusive, Collectively Exhaustive categories.
When to Use
When you need to break down a problem, categorize options, or ensure complete coverage.
The Principle
MECE = Mutually Exclusive, Collectively Exhaustive
- Mutually Exclusive: No overlap between categories
- Collectively Exhaustive: All possibilities covered
The Process
1. Analyze Mutual Exclusivity
For each pair of items:
- Is there any overlap?
- Could something belong to both?
- If overlap exists, redefine boundaries
2. Analyze Collective Exhaustiveness
For the whole set:
- Are there gaps?
- What scenarios aren't covered?
- What's missing?
3. Create Logical Tree
Structure as hierarchy:
- Top level: Broadest categories
- Sub-levels: More specific breakdowns
- Each level should be MECE
Example
Bad (not MECE):
- Marketing channels: Social, Digital, Facebook, Email
- (Facebook overlaps with Social and Digital)
Good (MECE):
- Marketing channels: Paid, Owned, Earned
- Paid: Social ads, Search ads, Display
- Owned: Email, Website, App
- Earned: PR, Reviews, Word of mouth
Output
- MECE categories with clear boundaries
- Logical tree showing hierarchy
- Notes on any gaps or overlaps found
When Not to Use
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
What ships with it
1 file 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.
- 1mo ago First seen · 65 lines · 27 tokens per session scan A e4bcfec7e139
mece-analysis is a skill published in the GitHub repository itseffi/agentic-os (117 stars, last pushed 14d ago), licensed MIT. It adds 27 tokens to every session and 360 once invoked, about $0.0001 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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