doc-behavior-state-machines

An agent that documents state machines, which describe named states and the transitions between them. It writes one Mermaid state diagram for each qualifying state machine and cites the source location.

In plain words
What is it for?
Use it to generate a state-machine reference file from a repository's source code without changing the code or other documentation files.
Why use it?
It turns state-related code into a readable document while linking each diagram back to its definition in the source.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/theagenticguy/opencodehub/doc-behavior-state-machines
Clone the repo
git clone --depth 1 https://github.com/theagenticguy/opencodehub

Made for: Claude Code.

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 1,465 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.01465
Opus 5 $0.00000 $0.00732
Sonnet 5 $0.00000 $0.00293
Haiku 4.5 $0.00000 $0.00146

Measured 2d ago against content hash ce9d7571923d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

doc-behavior-state-machines 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 2d 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/skills/codehub-document/templates/agents/doc-behavior-state-machines.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Packet · {{ repo }} · behavior/state-machines.md

1. Objective

Produce {{ docs_root }}/behavior/state-machines.md: one H2 per state machine in {{ repo }}, each containing exactly one Mermaid stateDiagram-v2 block that reflects the states and transitions declared in source, followed by a path:LOC citation to the definition site.

2. Scope

  • Create: {{ docs_root }}/behavior/state-machines.md
  • Do not touch: {{ docs_root }}/behavior/processes.md, any other file under {{ docs_root }}/, any source file in the repo, .context.md, .prefetch.md, or any .packets/*.md other than this one.
  • Conditional file — this packet is only seeded when sql(WHERE kind='StateMachine') returns ≥ 2 rows. The state-machine count is carried in {{ context_path }} § State machines; the orchestrator verified the count before spawning.

3. Input specification

Source Read how Cache state
Shared context Read {{ context_path }} always first
Prefetch ledger Read {{ prefetch_path }} always first
State-machine inventory {{ context_path }} § State machines (count + names + paths) cached
State-machine nodes (detail) mcp__codehub__sql({query: "SELECT name, file_path, start_line FROM nodes WHERE kind='StateMachine'"}) mid-run, only if .context.md slice is truncated
States + transitions per machine mcp__codehub__context({symbol: <machine-name>}) mid-run
Verbatim state/transition text Read <file_path>:<start_line> mid-run

4. Process

  1. Read {{ context_path }} and Read {{ prefetch_path }}. Confirm .context.md § State machines lists ≥ 2 machines. If the slice is truncated, call the sql fallback in Section 3.
  2. For each state machine: call mcp__codehub__context({symbol: <machine-name>}) to pull states, entry state, transitions, and terminal states.
  3. For each machine: Read the definition file at start_line..start_line+60 to verify state names and transition labels before drawing. Do not invent transitions.
  4. Draft state-machines.md with H1 = {{ repo }} · State machines. One H2 per machine, in alphabetical order by machine name. Under each H2: exactly one fenced Mermaid stateDiagram-v2 block, then a single-line Defined at: <backtick path:LOC> citation.
  5. Transitions use the source-level event name as the Mermaid edge label (e.g., start(), complete()). Do not paraphrase event names.
  6. Write {{ docs_root }}/behavior/state-machines.md.

Read the full file on GitHub · 102 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. 2d ago First seen · 102 lines · 0 tokens per session scan A ce9d7571923d

Subscribe to this mod's changes

doc-behavior-state-machines is an agent published in the GitHub repository theagenticguy/opencodehub (3 stars, last pushed 20d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,465 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 2026-08-31.

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