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 ils15/pantheon-legacy --skill metis-gap-analysisgit clone --depth 1 https://github.com/ils15/pantheon-legacyWrote 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/ils15/pantheon-legacy/metis-gap-analysis)<a href="https://agentmods.dev/skills/ils15/pantheon-legacy/metis-gap-analysis"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/metis-gap-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/ils15/pantheon-legacy/metis-gap-analysis"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/metis-gap-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 75 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00025 | $0.01109 |
| Opus 5 | $0.00013 | $0.00554 |
| Sonnet 5 | $0.00005 | $0.00222 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
metis-gap-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 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metis Gap Analysis — Pre-Plan Validation
Use this skill to analyze implementation plans BEFORE they are delivered to the user. Catches what the planner missed: hidden intentions, ambiguities, missing criteria, over-engineering, and edge cases.
Named after Metis, the Titaness of wisdom and deep thought — she forces externalization of implicit knowledge.
The Core Principle
The plan author has ADHD working memory. Force the gaps into the open.
When Athena generates a plan, implicit knowledge never makes it onto the page. Metis catches these gaps before the user approves the plan.
When to Run
Metis runs AFTER Athena generates the plan, BEFORE delivering to the user for approval.
Athena generates plan
↓
Metis analyzes (this skill)
↓
Gaps injected into plan
↓
Athena revises plan with gaps addressed
↓
Plan delivered to user for approval
Gap Categories
1. Hidden Intentions
What the user wanted but didn't say:
| Signal | Question to Ask |
|---|---|
| Vague scope ("improve performance") | "What metric defines 'improved'? Latency? Throughput? Memory?" |
| No rollback mentioned | "What's the rollback strategy if this breaks?" |
| No migration path | "How do we migrate existing data?" |
| No monitoring mentioned | "How will we know if this works in production?" |
2. Ambiguities
Terms that could derail implementation:
| Signal | Question to Ask |
|---|---|
| "Fast", "scalable", "robust" | "Define the target: <100ms? 10k req/s? 99.9% uptime?" |
| "Following existing patterns" | "Which pattern? There are 3 different auth patterns in the codebase." |
| "When ready", "as needed" | "What triggers readiness? What's the threshold?" |
| No scope boundaries | "What is explicitly OUT of scope?" |
3. Missing Acceptance Criteria
How to know it worked:
| Signal | Question to Ask |
|---|---|
| No test strategy | "What tests verify this works?" |
| No success metrics | "What does 'done' look like?" |
| No verification steps | "How does the user verify this in production?" |
| No error scenarios | "What happens when X fails?" |
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 · 161 lines · 25 tokens per session scan A b98f353d9316
metis-gap-analysis is a skill published in the GitHub repository ils15/pantheon-legacy (10 stars, last pushed 8d ago), licensed MIT. It adds 25 tokens to every session and 1,109 once invoked, about $0.0001 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 2026-08-31.
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