doc-diagrams-components

A documentation task that creates one Mermaid class diagram showing the main components of a code repository. Mermaid is a text format that renders diagrams from written descriptions.

In plain words
What is it for?
Use it to document software architecture in a repository's diagrams/architecture/components.md file.
Why use it?
It gives developers a compact map of how major parts of an unfamiliar repository contain or use one another. The output is limited to the most important components and connections.

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-diagrams-components
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 1,386 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 $0.01386
Opus 5 $0.00000 $0.00693
Sonnet 5 $0.00000 $0.00277
Haiku 4.5 $0.00000 $0.00139

Measured yesterday against content hash b19e8fa8c6f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

doc-diagrams-components 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 yesterday.

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-diagrams-components.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Packet · {{ repo }} · diagrams/architecture/components.md

1. Objective

Produce {{ docs_root }}/diagrams/architecture/components.md: a single Mermaid classDiagram of the top 8 components of {{ repo }} with HAS-A / USES edges, capped at 20 total nodes.

2. Scope

  • Create: {{ docs_root }}/diagrams/architecture/components.md
  • Do not touch: any other file under {{ docs_root }}/, any source file in the repo, .context.md, .prefetch.md, or any .packets/*.md other than this one.

3. Input specification

Source Read how Cache state
Shared context Read {{ context_path }} always first
Prefetch ledger Read {{ prefetch_path }} always first
Top communities {{ context_path }} § Top communities cached
Community relations {{ prefetch_path }} § sql relations or mcp__codehub__sql({query: "SELECT src, dst, type FROM edges WHERE type IN ('CONTAINS','CALLS','IMPORTS') LIMIT 500"}) cached if digest present; mid-run otherwise
Component method list mcp__codehub__context({symbol: <community-name>}) per top 8 mid-run

4. Process

  1. Read {{ context_path }} and Read {{ prefetch_path }}. Confirm top-8 community names and their file-path roots.
  2. Pull the raw edge set from .prefetch.md § sql relations (kinds CONTAINS, CALLS, IMPORTS). If not cached, call mcp__codehub__sql with the query above and cache the digest in this packet's Work log.
  3. Project file-level edges down to the community level: collapse every (source_community, target_community, kind) triple into a single edge, labeled with a one-word verb (contains, invokes, imports, depends).
  4. For each of the top 8 communities, call mcp__codehub__context({symbol: <community-name>}) and select the top 3-5 outbound method names by call count. These populate the classDiagram method list for that class.
  5. If the projected graph has > 20 nodes, keep the top-20 by edge count and move the overflow into a ## Legend (overflow) table with columns Node | Edges | Reason for elision.
  6. Draft the Mermaid classDiagram. Max 8 classes; each class has 3-5 methods; relationships labeled with one-word verbs.
  7. Write {{ docs_root }}/diagrams/architecture/components.md with H1 = {{ repo }} · Component view.

Read the full file on GitHub · 100 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. yesterday First seen · 100 lines · 0 tokens per session scan A b19e8fa8c6f2

Subscribe to this mod's changes

doc-diagrams-components 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 1,386 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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