adg-governance

adg-governance is a skill for Claude Code from DDS-Solutions/AI-TadPole-OS. It costs 34 tokens per session (903 once invoked), scanned A, original, MIT.

A documentation-governance protocol that compares source code with project documentation. It maps code symbols using an abstract syntax tree, a structured representation of code, and maintains records of the checked results.

In plain words
What is it for?
Use it during audits, refactoring, and pre-commit checks to scan file headers, find affected symbols, and validate documentation manifests.
Why use it?
It helps detect documentation that no longer matches the code, including outdated claims and changes that may affect other code. It can also check documentation-related rules before commits.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Workflow Binding**: Used during [`/audit`](../../workflows/audit.md), [`/refactor`](../../workflows/refactor.md), and pre-commit verification..

Good fit Use it during audits, refactoring, and pre-commit checks to scan file headers, find affected symbols, and validate documentation manifests.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OS
agentmods
npx agentmods add skills/dds-solutions/ai-tadpole-os/adg-governance

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.

agentmods badge for adg-governance

README.md
[![agentmods](https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/adg-governance/github.svg)](https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/adg-governance)
Your own site
<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/adg-governance"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/adg-governance/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 adg-governance

Your own site · 80×15
<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/adg-governance"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/adg-governance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 903 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.
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 $0.00034 $0.00903
Opus 5.5 $0.00014 $0.00361
Sonnet 5.5 $0.00007 $0.00181
Haiku 4.5 $0.00003 $0.00090

Measured 9d ago against content hash 16feb752f551, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

adg-governance 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/adg_linter.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agent/skills/adg-governance/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

[!IMPORTANT] AI Context & Knowledge Heritage

  • Subsystem: Agent Skills Registry / adg-governance
  • Architecture: @docs ARCHITECTURE:Documentation
  • Failure Path: Information drift, legacy v1 claims, unverified documentation divergence.
  • Observability: Traceability via execution/parity_guard.py ([SKILL])

Active Documentation Guard (ADG v2) Protocol

Purpose: Guarantee zero architectural drift between codebase reality and sovereign documentation through automated AST symbol mapping and machine-maintained manifests. Workflow Binding: Used during /audit, /refactor, and pre-commit verification.


🎯 Progressive Disclosure & L3 Reference Index

Read REQUIRED core standards below; consult deep L3 Reference Guides on demand:

L3 Reference Guide / Tool Purpose Trigger / When to Load
references/adg_v2_manifest_and_blast_rules.md Header specifications, forbidden v1 anti-patterns, AST blast radius tooling Writing or updating code file headers
scripts/adg_linter.py Deterministic scanner for forbidden v1 claims (Witness Tests:) and @docs tags Pre-commit file header validation

🏛️ Core Architectural Invariants

  1. No Hand-Written Fact Claims: Never write Witness Tests: or freeform Invariants: in source file headers. Those are forbidden v1 anti-patterns flagged by npm run adg:lint.
  2. Machine-Maintained Manifest: Test witness relationships are automatically derived by npm run adg:generate into adg.manifest.json.
  3. Mandatory Header Block: All production source files must contain the standard @docs ARCHITECTURE:... block.
  4. Mandatory Pre-Refactor Guard: Before modifying shared contracts, run npm run graph:blast:guard -- --path <file> to map affected callers and callees.

🛡️ Socratic Gate: Blast Radius & Documentation Invariants

Read the full file on GitHub · 79 lines

Files

What ships with it

2 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. 9d ago First seen · 79 lines · 34 tokens per session scan A 16feb752f551

Subscribe to this mod's changes

adg-governance is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed 5d ago), licensed MIT. It adds 34 tokens to every session and 903 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 2026-10-18.

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