coograph: Command for Claude Code

.claude/commands/coograph-docs-restructure.md

coograph-docs-restructure is a command for Claude Code from paullukic/coograph. It costs 0 tokens per session (484 once invoked), scanned A, original, MIT.

A command that restructures a project’s instruction and map files into always-loaded guidance, workspace indexes, on-demand feature documents, and a GOTCHAS.md file. It proposes the changes first and applies them only after approval.

In plain words
What is it for?
Use it to measure the existing layout, create a restructuring proposal, migrate documentation, and verify the result.
Why use it?
It helps keep project guidance within size budgets while checking that current facts are retained and outdated facts are identified.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions subagents; mentions Claude Code.

This is paullukic/coograph's own configuration. It tells Claude Code how to work on coograph 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 coograph configures →

Reuse

Borrowing it

Nothing to install: this file belongs to paullukic/coograph. 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/paullukic/coograph/main/.claude/commands/coograph-docs-restructure.md
Clone the repo
git clone --depth 1 https://github.com/paullukic/coograph

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 484 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 $0.00000 $0.00484
Opus 5.5 $0.00000 $0.00194
Sonnet 5.5 $0.00000 $0.00097
Haiku 4.5 $0.00000 $0.00048

Measured 1mo ago against content hash a1d74ced3892, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

coograph-docs-restructure 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.

.claude/commands/coograph-docs-restructure.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Restructure this project's instruction and map files into the tier layout (always-loaded root files, workspace routers, on-demand feature docs, GOTCHAS.md) so they fit their budgets with no loss of current-state facts.

The full procedure lives in .github/skills/coograph-docs-restructure/SKILL.md. Follow it exactly, with these Claude Code specific substitutions:

SKILL.md tool Claude Code equivalent
vscode_askQuestions Ask the user directly in the conversation
read_file Use Read tool
run_in_terminal Use Bash tool

Steps (summary)

  1. Take stock with python3 .github/layout/layout.py --budget and --json.
  2. Work out the shape: workspaces, tools in use, product areas, duplicated rules, buried gotchas.
  3. Write openspec/changes/<date>-docs-restructure/ with the area fact lists, and stop for approval.
  4. Apply after approval: one subagent per area, every fact checked against the code (code-graph first) and marked kept, kept-unverifiable or dropped with a reason.
  5. Verify: layout.py --budget exits 0, before and after per tier, then /coograph-review.

Guardrails

  • Never edit an instruction file before the OpenSpec is approved.
  • Check every fact against the code. Keep what the code cannot confirm or contradict (marked); drop only what it contradicts, history, or duplicates, with the reason.
  • Never write dated sections. Never state a rule in more than one file.

$ARGUMENTS

Models

Read the models block in openspec/config.yaml before delegating. When mode is preset or per-task, pass that agent's model on the Agent call; when it is off or unset, pass nothing and let the agent inherit the session model.

End your report with one line naming what ran where, so the setting is visible without reading config:

models: explore=haiku (mapping), reviewer=opus (mapping)

Print the footer in every mode. In off and unset it reads (inherited).

Read the full file on GitHub · 41 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. 1mo ago First seen · 41 lines · 0 tokens per session scan A a1d74ced3892

Subscribe to this mod's changes

coograph-docs-restructure is a command published in the GitHub repository paullukic/coograph (17 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 484 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 2026-10-07.

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