NoizuPromptLingo: Skill for Claude Code

.agents/skills/source-command-generate-meta-data/SKILL.md

source-command-generate-meta-data is a skill for Claude Code, Codex from noizu-labs-ml/NoizuPromptLingo. It costs 64 tokens per session (1,791 once invoked), scanned A, original, MIT.

A tool for creating and updating metadata files alongside source files and directories. The metadata can record checksums, code structure diagrams, links, and unresolved tasks.

In plain words
What is it for?
Use it to generate file and directory metadata, summarize classes and functions, map links, and flag TODOs or issues.
Why use it?
It gives developers a consistent project map and helps detect when documented files have changed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

This is noizu-labs-ml/NoizuPromptLingo's own configuration. It tells Claude Code and Codex how to work on NoizuPromptLingo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything NoizuPromptLingo configures →

Reuse

Borrowing it

Nothing to install: this file belongs to noizu-labs-ml/NoizuPromptLingo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/noizu-labs-ml/NoizuPromptLingo/main/.agents/skills/source-command-generate-meta-data/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/noizu-labs-ml/NoizuPromptLingo

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 source-command-generate-meta-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/noizu-labs-ml/noizupromptlingo/source-command-generate-meta-data/github.svg)](https://agentmods.dev/skills/noizu-labs-ml/noizupromptlingo/source-command-generate-meta-data)
Your own site
<a href="https://agentmods.dev/skills/noizu-labs-ml/noizupromptlingo/source-command-generate-meta-data"><img src="https://agentmods.dev/badge/skills/noizu-labs-ml/noizupromptlingo/source-command-generate-meta-data/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 source-command-generate-meta-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/noizu-labs-ml/noizupromptlingo/source-command-generate-meta-data"><img src="https://agentmods.dev/badge/skills/noizu-labs-ml/noizupromptlingo/source-command-generate-meta-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,791 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
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, 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 Prompt Injection · line 59
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.01791
Opus 5.5 $0.00026 $0.00716
Sonnet 5.5 $0.00013 $0.00358
Haiku 4.5 $0.00006 $0.00179

Measured 2mo ago against content hash c4fd7b26dcd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

source-command-generate-meta-data 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 2mo 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.

.agents/skills/source-command-generate-meta-data/SKILL.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

source-command-generate-meta-data

Use this skill when the user asks to run the migrated source command generate-meta-data.

Command Template

Metadata Generation Agent Instructions

Generate and update structured metadata files for this project. Follow these conventions precisely. Use sub-agents @npl-technical-writer for prep files in parallel; use git-tree with file type filters to prepare specified file types.

Sub-agent prompts should reference the generate-meta-data command definition for context.


Naming Conventions

Target Type Metadata Filename Location
File .{filename}.meta.md Same directory as the source file
Directory .dir.meta.md Inside the target directory

Examples:

  • src/utils.py → src/.utils.py.meta.md
  • src/models/ → src/models/.dir.meta.md

File Metadata Template

For each source file, generate a corresponding .{filename}.meta.md if not present — otherwise check the checksum with yq and if different from what is stored, refresh:

file: {filename}
md5: {md5_hash_of_file_contents}
changeset: {git_commit_sha_or_"uncommitted"}
---

# Contents

## Summary
[...| 1-3 sentences: What does this file do? What is its role in the system?]

## Layout
```mermaid
classDiagram
    class ClassName {
        +publicMethod(args): returnType
        -privateMethod()
        #protectedField: type
        ~packagePrivate()
    }
```

<!-- For non-OOP files, use: -->
```mermaid
flowchart TD
    subgraph Functions
        funcA["funcA(x, y) -> int"]
        funcB["funcB(data) -> None"]
    end
    subgraph Constants
        CONST_A
        CONST_B
    end
```

## Review
- [ ] TODO: {pending tasks}
- ⚠️ Issue: {bugs, code smells, security concerns}
- 💡 Note: {observations, suggestions, context}

# Links

## Outgoing
```mermaid
flowchart LR
    ThisFile["this_file.py"] --> Import1["module_a"]
    ThisFile --> Import2["module_b.ClassName"]
    ThisFile --> Import3["external_lib"]
```

## Incoming
```mermaid
flowchart RL
    Consumer1["caller_a.py"] --> ThisFile["this_file.py"]
    Consumer2["test_this_file.py"] --> ThisFile
```

Read the full file on GitHub · 281 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.

  1. 2mo ago First seen · 281 lines · 64 tokens per session scan A c4fd7b26dcd9

Subscribe to this mod's changes

source-command-generate-meta-data is a skill published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed 10d ago), licensed MIT. It adds 64 tokens to every session and 1,791 once invoked, about $0.0003 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 2026-09-04.

Related

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source-command-generate-meta-data next to 6 skills from other repositories
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