Borrowing it
Nothing to install: this file belongs to fwornle/coding. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fwornle/coding/main/.claude/commands/graphify.mdgit clone --depth 1 https://github.com/fwornle/codingWrote 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.
[](https://agentmods.dev/commands/fwornle/coding/graphify)<a href="https://agentmods.dev/commands/fwornle/coding/graphify"><img src="https://agentmods.dev/badge/commands/fwornle/coding/graphify/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.
<a href="https://agentmods.dev/commands/fwornle/coding/graphify"><img src="https://agentmods.dev/badge/commands/fwornle/coding/graphify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00080 | $0.00682 |
| Opus 5.5 | $0.00032 | $0.00273 |
| Sonnet 5.5 | $0.00016 | $0.00136 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
graphify 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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/graphify
Graphify turns this repo into a navigable code knowledge graph (tree-sitter AST → static
graph.json), served over an HTTP MCP endpoint. All Python runs inside the coding-services
container — the host graphify command (bin/graphify) forwards to it via docker exec.
- Graph output:
.data/graphify/graphify-out/graph.json(bind-mounted;built_at_commitstamps the indexed commit) - MCP endpoint:
http://localhost:3851/mcp(tools:query_graph,get_node,get_neighbors,shortest_path,graph_stats,god_nodes, …) - Host CLI:
graphify …(shim → container)
When to use
Prefer this over grepping the codebase for structural questions ("how does X work?", "what calls Y?", "trace the flow through Z", "what depends on this module?"). Query the graph first; fall back to grep only if the graph lacks the answer.
Querying (fast path — graph already built)
Use the MCP tools (mcp__graphify__query_graph, get_node, get_neighbors,
shortest_path, god_nodes) when available. Equivalent CLI via the shim:
graphify query "How does the ETM watchdog reclaim a stalled session?" # BFS, broad context
graphify query "what calls captureForegroundTokens" --dfs # DFS, trace a path
graphify path "ObservationWriter" "obs-api" # shortest path between two concepts
graphify explain "CodeGraphAgent" # plain-language node explanation
graphify god-nodes --top 20 # most-connected hubs
Rebuilding the graph
The dashboard shows how many commits behind the graph is and has a Re-index button. To rebuild from the CLI:
graphify update /workspace/coding # incremental (AST only, no LLM) — fast, use this most of the time
graphify extract /workspace/coding # full re-extract incl. docs/PDF semantic pass (routes docs LLM via the proxy)
graphify extract /workspace/coding --code-only # full code re-extract, no LLM/network
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.
- 1mo ago First seen · 55 lines · 80 tokens per session scan A 0d0879ad4e37
graphify is a command published in the GitHub repository fwornle/coding (2 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 682 once invoked, about $0.0003 per session on Opus 5.5. 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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