analyse

analyse is a skill for Claude Code, Codex from NeoLabHQ/context-engineering-kit. It costs 23 tokens per session (3,664 once invoked), scanned A, original, GPL-3.0.

A selector for choosing among three Kaizen improvement methods: Gemba Walk, Value Stream, and Muda.

In plain words
What is it for?
It helps choose an approach for examining work directly, mapping how work moves, or finding waste.
Why use it?
It removes the guesswork of deciding which method fits a particular improvement target.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 1.8krepo +26 1mo ago A scan Socket: passSnyk: passSkillSpector: warn 23 tokens GPL-3.0

Good fit It helps choose an approach for examining work directly, mapping how work moves, or finding waste.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/neolabhq/context-engineering-kit/analyse
About the project

Context Engineering Kit is a collection of skills, agents, hooks, instructions, commands, and plugins that shape how coding agents use context and carry out development work. It is for developers using Claude Code and other supported coding agents who want more predictable results. The catalogue entries are components from this collection.

NeoLabHQ/context-engineering-kit · 1,781 stars · on GitHub · neolab.gitbook.io

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.

Any agent
npx skills add NeoLabHQ/context-engineering-kit --skill analyse
Clone the repo
git clone --depth 1 https://github.com/NeoLabHQ/context-engineering-kit

Made for: Claude Code, Codex.

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.

agentmods badge for analyse

README.md
[![agentmods](https://agentmods.dev/badge/skills/neolabhq/context-engineering-kit/analyse/github.svg)](https://agentmods.dev/skills/neolabhq/context-engineering-kit/analyse)
Your own site
<a href="https://agentmods.dev/skills/neolabhq/context-engineering-kit/analyse"><img src="https://agentmods.dev/badge/skills/neolabhq/context-engineering-kit/analyse/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.

agentmods 80×15 button for analyse

Your own site · 80×15
<a href="https://agentmods.dev/skills/neolabhq/context-engineering-kit/analyse"><img src="https://agentmods.dev/badge/skills/neolabhq/context-engineering-kit/analyse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,664 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 15 Sept 2026
  • Snyk pass 15 Sept 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

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 →

  • high Tool Misuse · line 121
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Privilege Escalation · line 157
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 461
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Excessive Agency · line 267
    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.
How audits are shown
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.03664
Opus 5.5 $0.00009 $0.01466
Sonnet 5.5 $0.00005 $0.00733
Haiku 4.5 $0.00002 $0.00366

Measured 1mo ago against content hash e0798026b16d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analyse 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.

antigravity/skills/analyse/SKILL.md · 510 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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.

  1. 1mo ago First seen · 510 lines · 23 tokens per session scan A e0798026b16d

Subscribe to this mod's changes

analyse is a skill published in the GitHub repository NeoLabHQ/context-engineering-kit (1,781 stars, last pushed 1mo ago), licensed GPL-3.0. It adds 23 tokens to every session and 3,664 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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