docs

docs is a skill for Claude Code, Codex from DivyamTalwar/Structorium. It costs 0 tokens per session (1,279 once invoked), scanned A, original, MIT.

A codebase health scanner and technical-debt tracker for 28 programming languages. Technical debt means code problems that make future changes harder, such as dead code, duplication, oversized files, or tangled dependencies.

In plain words
What is it for?
Use it to scan a repository, check its health score, find code smells or coupling issues, and work through a cleanup plan.
Why use it?
It identifies concrete code-quality problems and suggests what to fix next, so cleanup work can be measured over repeated scans.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it to scan a repository, check its health score, find code smells or coupling issues, and work through a cleanup plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/divyamtalwar/structorium/docs
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 DivyamTalwar/Structorium --skill docs
Clone the repo
git clone --depth 1 https://github.com/DivyamTalwar/Structorium

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 docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/divyamtalwar/structorium/docs/github.svg)](https://agentmods.dev/skills/divyamtalwar/structorium/docs)
Your own site
<a href="https://agentmods.dev/skills/divyamtalwar/structorium/docs"><img src="https://agentmods.dev/badge/skills/divyamtalwar/structorium/docs/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 docs

Your own site · 80×15
<a href="https://agentmods.dev/skills/divyamtalwar/structorium/docs"><img src="https://agentmods.dev/badge/skills/divyamtalwar/structorium/docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,279 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: 2 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 Prompt Injection · line 1
    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.
  • high YARA Match · line 120
    YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).
    Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
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 $0.00000 $0.01279
Opus 5.5 $0.00000 $0.00512
Sonnet 5.5 $0.00000 $0.00256
Haiku 4.5 $0.00000 $0.00128

Measured 1mo ago against content hash d64721f31810, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

docs 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.

docs/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: structorium description: > Codebase health scanner and technical debt tracker. Use when the user asks about code quality, technical debt, dead code, large files, god classes, duplicate functions, code smells, naming issues, import cycles, or coupling problems. Also use when asked for a health score, what to fix next, or to create a cleanup plan. Supports 28 languages. allowed-tools: Bash(structorium *)

Structorium

1. Your Job

Improve code quality by maximising the strict score honestly.

The main thing you do is run structorium next — it tells you exactly what to fix and how. Fix it, resolve it, run next again. Keep going.

Follow the scan output's INSTRUCTIONS FOR AGENTS — don't substitute your own analysis.

2. The Workflow

Two loops. The outer loop rescans periodically to measure progress. The inner loop is where you spend most of your time: fixing issues one by one.

Outer loop — scan and check

structorium scan --path .       # analyse the codebase
structorium status              # check scores — are we at target?

If not at target, work the inner loop. Rescan periodically — especially after clearing a cluster or batch of related fixes. Issues cascade-resolve and new ones may surface.

Inner loop — fix issues

Repeat until the queue is clear:

1. structorium next              ← tells you exactly what to fix next
2. Fix the issue in code
3. Resolve it (next shows you the exact command including required attestation)

Score may temporarily drop after fixes — cascade effects are normal, keep going. If next suggests an auto-fixer, run structorium fix <fixer> --dry-run to preview, then apply.

To be strategic, use plan to shape what next gives you:

structorium plan                        # see the full ordered queue
structorium plan move <pat> top         # reorder — what unblocks the most?
structorium plan cluster create <name>  # group related issues to batch-fix
structorium plan focus <cluster>        # scope next to one cluster
structorium plan defer <pat>            # push low-value items aside
structorium plan skip <pat>             # hide from next
structorium plan done <pat>             # mark complete
structorium plan reopen <pat>           # reopen

Read the full file on GitHub · 123 lines

Files

What ships with it

10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 123 lines · 0 tokens per session scan A d64721f31810

Subscribe to this mod's changes

docs is a skill published in the GitHub repository DivyamTalwar/Structorium (6 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,279 tokens. 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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