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 markmhendrickson/neotoma --skill analyzegit clone --depth 1 https://github.com/markmhendrickson/neotomaWrote 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/markmhendrickson/neotoma/analyze)<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/analyze"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/analyze/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/markmhendrickson/neotoma/analyze"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/analyze.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 Agent Snooping · line 6 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00005 | $0.04739 |
| Opus 5.5 | $0.00002 | $0.01896 |
| Sonnet 5.5 | $0.00001 | $0.00948 |
| Haiku 4.5 | $0.00001 | $0.00474 |
Grade A, and why
analyze 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- analyze — 100% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 570 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: analyze description: Analyze codebase or context per foundation analyze command. triggers:
- analyze
- /analyze
Analyze Project
Analyze any project (URL or term) from both competitive and partnership perspectives relative to all repositories (comparative analysis across your repos). Load repo list from the truth layer (per neotoma_parquet_migration_rules.mdc).
Command
analyze <url_or_term>
Input
Accepts:
- Full URL (e.g.,
analyze https://memorae.ai) - Domain name (e.g.,
analyze memorae.ai) - Search term (e.g.,
analyze "memory layer productivity")
Examples:
analyze memorae.aianalyze https://memorae.aianalyze "memory layer productivity tool"
Workflow Overview
This command performs systematic analysis following the framework defined in foundation/strategy/project_assessment_framework.md. The analysis type depends on the resource:
For Products/Projects:
- Load all repos from truth layer (per
neotoma_parquet_migration_rules.mdc) - Discover repo context for current repo and all repos in the loaded list
- Research target project via web scraper MCP (if ChatGPT/Twitter URL) or browser tools
- Generate competitive analysis using standardized template (compare target vs. each repo)
- Generate partnership analysis using standardized template (compare target vs. each repo)
- Save both analyses to private docs submodule
- Present summary to user (including comparative summary across repos)
For Content/Thought Leadership (Articles, Research, etc.):
- Load all repos from truth layer (per
neotoma_parquet_migration_rules.mdc) - Discover repo context for current repo and all repos in the loaded list
- Research target resource via web scraper MCP (if ChatGPT/Twitter URL) or browser tools
- Generate holistic relevance analysis using relevance template (applicable to each repo)
- Save analysis to private docs submodule
- Present summary to user (including relevance to each repo where applicable)
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 · 570 lines · 5 tokens per session scan A 676ae17462c3
analyze is a skill published in the GitHub repository markmhendrickson/neotoma (34 stars, last pushed 2d ago), licensed MIT. It adds 5 tokens to every session and 4,739 once invoked, about $0.0000 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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