doc-updater

doc-updater is an agent for Claude Code from galyarderlabs/galyarder-framework. It costs 32 tokens per session (741 once invoked), scanned A, a copy of analytics-architect, MIT.

A documentation maintenance agent that keeps written instructions and release materials aligned with shipped software.

In plain words
What is it for?
Use it after releases or code changes to maintain documentation, command references, and release artifacts.
Why use it?
Documentation can become inaccurate when commands, behavior, or agent interfaces change. This agent helps identify and update that drift.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the @galyarderlabs/galyarder-framework plugin — 7 commands, 45 agents, 1 MCP server shipped together

Good fit Use it after releases or code changes to maintain documentation, command references, and release artifacts.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/galyarderlabs/galyarder-framework/doc-updater
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.

Clone the repo
git clone --depth 1 https://github.com/galyarderlabs/galyarder-framework

Made for: Claude Code.

Or install @galyarderlabs/galyarder-framework, the plugin that ships this one along with the rest of its 7 commands, 45 agents, 1 MCP server.

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 doc-updater

README.md
[![agentmods](https://agentmods.dev/badge/agents/galyarderlabs/galyarder-framework/doc-updater/github.svg)](https://agentmods.dev/agents/galyarderlabs/galyarder-framework/doc-updater)
Your own site
<a href="https://agentmods.dev/agents/galyarderlabs/galyarder-framework/doc-updater"><img src="https://agentmods.dev/badge/agents/galyarderlabs/galyarder-framework/doc-updater/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 doc-updater

Your own site · 80×15
<a href="https://agentmods.dev/agents/galyarderlabs/galyarder-framework/doc-updater"><img src="https://agentmods.dev/badge/agents/galyarderlabs/galyarder-framework/doc-updater.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 741 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 89% copy Near-identical to another mod 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 $0.00032 $0.00741
Opus 5.5 $0.00013 $0.00296
Sonnet 5.5 $0.00006 $0.00148
Haiku 4.5 $0.00003 $0.00074

Measured 14d ago against content hash 6f5a8334c23b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

doc-updater 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 14d 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

This is a copy

89% identical to analytics-architect — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/doc-updater.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

THE Agentic Company Framework GLOBAL PROTOCOLS (MANDATORY)

1. Operational Modes & Traceability

No cognitive labor occurs outside of a defined mode. You must operate within the bounds of a project-scoped issue via the IssueTracker Interface (Default: Linear).

  • BUILD Mode (Default): Heavy ceremony. Requires PRD, Architecture Blueprint, and full TDD gating.
  • INCIDENT Mode: Bypass planning for hotfixes. Requires post-mortem ticket and patch release note.
  • EXPERIMENT Mode: Timeboxed, throwaway code for validation. No tests required, but code must be quarantined.

2. Cognitive & Technical Integrity (The industry experts Principles)

Combat slop through rigid adherence to deterministic execution:

  • Think Before Coding: MANDATORY sequentialthinking MCP loop to assess risk and deconstruct the task before any tool execution.
  • Neural Link Lookup (Lazy): Use docs/graph.json or docs/departments/Knowledge/World-Map/ only for broad architecture discovery, dependency mapping, cross-department routing, or explicit /graph/knowledge-map work. Do not load the full graph by default for normal skill, persona, or command execution.
  • Context Truth & Version Pinning: MANDATORY context7 MCP loop before writing code. You must verify the framework/library version metadata (e.g., via package.json) before trusting documentation. If versions mismatch, fallback to pinned docs or explicitly ask the founder.
  • Simplicity First: Implement the minimum code required. Zero speculative abstractions. If 200 lines could be 50, rewrite it.
  • Surgical Changes: Touch ONLY what is necessary. Leave pre-existing dead code unless tasked to clean it (mention it instead).

3. The Iron Law of Execution (TDD & Test Oracles)

You do not trust LLM probability; you trust mathematical determinism.

  • Gating Ladder: Code must pass through Unit -> Contract -> E2E/Smoke gates.
  • Test Oracle / Negative Control: You must empirically prove that a test fails for the correct reason (e.g., mutation testing a known-bad variant) before implementing the passing code. "Green" tests that never failed are considered fraudulent.
  • Token Economy: Execute all terminal actions via the ExecutionProxy Interface (Default: rtk prefix, e.g., rtk npm test) to minimize computational overhead.

Read the full file on GitHub · 45 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. 14d ago First seen · 45 lines · 32 tokens per session scan A 6f5a8334c23b

Subscribe to this mod's changes

doc-updater is an agent published in the GitHub repository galyarderlabs/galyarder-framework (28 stars, last pushed 15d ago), licensed MIT. It adds 32 tokens to every session and 741 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to analytics-architect, differing in 8 lines, and is treated as a copy.

Related

Other agents, from other repositories

data-engineer

Adversarial data and database engineer who assumes the design is mis-normalized and indexed for a workload that does not exist. Audits schemas, migrations, queries, ORM code, document shapes, stream contracts, and pipelines against normalization, dimensional modeling, key-value access patterns, columnar and…

testdouble/han · 216 tokens

documentation-generator

Generate comprehensive documentation for software projects. User says: "Generate API documentation for our payment service" User says: "Create a runbook for our deployment process" User says: "Write technical specification for the new feature".

fattain-naime/engineering-docs · 59 tokens

fe-deck-reader

Decomposes PPT/planning decks (multi-slide, converted to PDF/PNG) into [policy & rules / screen mockups / screen flow / data & fields]. Spec-stage input that hands off precise screen extraction to fe-vision and requirement gaps to fe-analyst. READ-ONLY.

sh5623/fe-rail · 65 tokens

implementer

../../agents/implementer.md.

ramboz/jig · 0 tokens

wiki-ingest

Parallel batch ingestion agent for the Obsidian wiki vault. Dispatched when multiple sources need to be ingested simultaneously. Processes one source fully (read, extract, file entities and concepts, update index) then reports what was created and updated. Use when the user says "ingest all", "batch ingest", or…

eliransu/digital-brain · 156 tokens

agent-factory

Extends the core team with specialists when the goal benefits from domain expertise beyond what the generic agents provide. Runs once after the planner. Never executes the goal itself.

vibhasdutta/loop-engineer · 37 tokens