A command for analyzing a project, website, domain, or search term in relation to the user’s repositories. It examines the target from competitive and partnership perspectives and can research it using web tools.

Use it to assess a product or company, compare it with projects across your repositories, and investigate possible competitors or partners.

It organizes scattered repository context and outside research into a structured assessment of how another project may relate to your work.

analyze — Skill for Claude Code by markmhendrickson: A command for analyzing a project, website, domain, or…

Install

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.

agentmods

npx agentmods add skills/markmhendrickson/neotoma/analyze

Any agent

npx skills add markmhendrickson/neotoma --skill analyze

Clone the repo

git clone --depth 1 https://github.com/markmhendrickson/neotoma

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/markmhendrickson/neotoma/analyze.svg)](https://agentmods.dev/skills/markmhendrickson/neotoma/analyze)

Your own site

<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/analyze"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/analyze.svg" alt="Measured on agentmods" height="20"></a>

Per session 5 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,739 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00003	$0.02370
Sonnet 5	$0.00001	$0.00948
Haiku 4.5	$0.00001	$0.00474

Measured 6d ago against content hash 676ae17462c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 6d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

analyze — 100% identical, 11 lines differ

.claude/skills/analyze/SKILL.md · 570 lines

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.ai
analyze https://memorae.ai
analyze "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)

Read the full file on GitHub · 570 lines

Changes

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.

6d ago First seen · 570 lines · 5 tokens per session scan A 676ae17462c3

Subscribe to this mod's changes

analyze is a skill published in the GitHub repository markmhendrickson/neotoma (31 stars, last pushed 3d ago), licensed MIT. It adds 5 tokens to every session and 4,739 once invoked, about $0.0000 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.

Marketing and SEO Research agent-infrastructure agent-memory ai-agents deterministic-state entity-resolution event-sourcing

security-observability

只读查询 agent-sec-cli 已落盘的历史安全事件记录，并据此生成会话级安全复盘。仅当用户显式要求查看或审计已发生的安全事件、安全告警、安全审计记录，或要求按 session/run/trace/时间/类别筛选与统计已有安全事件，或要求复盘某次会话的安全判定时使用。不用于扫描新内容：检查代码安全性用 code-scanner，检测 prompt 注入用 prompt-scanner，审查 Skill 安全状态用 skill-ledger。不要因为对话中出现“安全”“工具调用”等字样、或为了主动自查而触发。.

alibaba/anolisa · 145 tokens

add-backend

Guide for adding a backend (Rust or Python) to the agent-sec-core security middleware. Use when creating new backends, integrating Rust or Python code into the security middleware, or extending with new backend actions.

alibaba/anolisa · 46 tokens

skill-ledger

Skill 安全状态查看、风险暴露审查、用户决策、快速扫描认证与可选深度扫描。支持用户主动查看或扫描单个/全部 Skill；当用户要求 agent 安装 Skill 且安装成功后，必须自动对最终本地目录执行快速扫描认证。.

alibaba/anolisa · 67 tokens

regex-mastery

Use this skill when writing regular expressions, debugging pattern matching,optimizing regex performance, or implementing text validation. Triggers on regex, regular expressions, pattern matching, lookahead, lookbehind, named groups, capture groups, backreferences, and any task requiring text pattern matching.

alibaba/anolisa · 60 tokens

prompt-scanner

使用 agent-sec-cli 扫描 prompt 文本中的注入攻击和越狱尝试，返回结构化 JSON 扫描结果。当用户提到 prompt 安全、prompt 注入检测、越狱检测、提示词攻击检测，或者需要判断一段文本是否包含恶意 prompt 注入时，都应使用此技能。即使用户没有明确说"扫描"，只要涉及评估 prompt 文本的安全性，也应触发此技能。.

alibaba/anolisa · 103 tokens

agentsight-bugfix

AgentSight fix issues 流程。了解问题 → 复现验证 → 根因分析 → 编码修复 → 验证修复，五阶段标准化调试迭代循环。确保 AI agent 遵循最小改动、逐轮验证的修复规范。.