doc-diagrams-dependency-graph

A Mermaid dependency graph showing the repository's internal code groups and the external libraries or services they depend on, with no more than 20 nodes.

In plain words
What is it for?
Use it to explain module relationships, imports, calls, and external dependencies.
Why use it?
It provides a compact view of how the project's parts connect and where outside dependencies enter the system.

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-dependency-graph
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 1,590 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 $0.01590
Opus 5 $0.00000 $0.00795
Sonnet 5 $0.00000 $0.00318
Haiku 4.5 $0.00000 $0.00159

Measured 2d ago against content hash fb465556ca79, 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-dependency-graph 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-diagrams-dependency-graph.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Packet · {{ repo }} · diagrams/structural/dependency-graph.md

1. Objective

Produce {{ docs_root }}/diagrams/structural/dependency-graph.md: a single Mermaid flowchart LR showing {{ repo }}'s internal communities alongside external-dep leaf nodes, capped at 20 total nodes.

2. Scope

  • Create: {{ docs_root }}/diagrams/structural/dependency-graph.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
Internal edges {{ 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
External dependencies {{ context_path }} § Stack or mcp__codehub__dependencies({repo: "{{ repo }}"}) cached if digest present; mid-run otherwise

4. Process

  1. Read {{ context_path }} and Read {{ prefetch_path }}. Confirm the internal community list and the external-dep list.
  2. Pull the internal edge set from .prefetch.md § sql relations. If not cached, call mcp__codehub__sql and cache the digest in this packet's Work log.
  3. Pull the external-dep list from .context.md § Stack. If absent, call mcp__codehub__dependencies({repo: "{{ repo }}"}) and keep the top 15 by usage.
  4. Compose the node set: internal communities (as name[Label] plain rectangles) plus the external deps (as name[(Label)]:::external parenthesized nodes with a dashed stroke class). Reserve the full 20-node budget; drop lowest-usage externals first when pruning.
  5. Compose the edge set: internal→internal edges from the sql result collapsed to community level; internal→external edges from the dependency list, sourced at the internal community that imports the dep most often.
  6. If node count > 20 after composition: keep the top-20 by edge count, then add a ## Legend (overflow) table with columns Node | Edges | Reason for elision.
  7. Draft the Mermaid flowchart LR. Include the classDef external stroke-dasharray: 3 3 line so external leaves render dashed.
  8. Write {{ docs_root }}/diagrams/structural/dependency-graph.md with H1 = {{ repo }} · Dependency graph.

Read the full file on GitHub · 105 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 · 105 lines · 0 tokens per session scan A fb465556ca79

Subscribe to this mod's changes

doc-diagrams-dependency-graph 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 1,590 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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