A tool for querying and maintaining a project's Graphify knowledge graph, a map of code symbols and their relationships, when the project has a generated graph.

Use it to explain a symbol, trace a path between symbols, search for a broad concept, assess what a change affects, or explore the codebase corpus.

It gives a bounded way to locate likely files, entry points, dependencies, and affected code before verifying the answer in the source and tests.

How EastStarAI/sanad-agent configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to EastStarAI/sanad-agent. 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/EastStarAI/sanad-agent/main/.agents/skills/graphify/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/EastStarAI/sanad-agent

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/eaststarai/sanad-agent/graphify/github.svg)](https://agentmods.dev/skills/eaststarai/sanad-agent/graphify)

Your own site

<a href="https://agentmods.dev/skills/eaststarai/sanad-agent/graphify"><img src="https://agentmods.dev/badge/skills/eaststarai/sanad-agent/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/eaststarai/sanad-agent/graphify"><img src="https://agentmods.dev/badge/skills/eaststarai/sanad-agent/graphify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,014 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00059	$0.01014
Opus 5.5	$0.00024	$0.00406
Sonnet 5.5	$0.00012	$0.00203
Haiku 4.5	$0.00006	$0.00101

Measured 2mo ago against content hash b04fb58692e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

.agents/skills/graphify/SKILL.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.

Graphify

Use Graphify as a bounded discovery map. For code questions, verify conclusions against source files and tests; the graph may be broad or stale.

Routing

Check for graphify-out/graph.json.
For a natural-language codebase question with an existing graph, run one narrow graph operation before direct source search.
Choose the smallest operation:
- One known symbol: graphify explain "Symbol".
- Relationship between two known symbols: graphify path "A" "B".
- Unknown entry point or broad concept: graphify query "terms" --budget 800.
- Reverse impact: graphify affected "Symbol".
After Graphify identifies likely files or symbols, use rg and read the source/tests for the authoritative answer.

For stack traces or exact exception text, query only the top project-owned symbols once with --budget 600, then move immediately to rg. Do not use generic runtime names such as List, Map, String, async, or package names as query anchors.

Read references/query.md only for query/path/explain selection, output-noise handling, or CLI fallback behavior.

Context budget and noise guard

Default to 800 output tokens; use 600 for stack traces and at most 1500 for broad architecture work.
Prefer exact identifiers from the request, stack trace, or repository.
If a query reports more than 80 nodes, is truncated, or mostly returns generic language/runtime symbols, classify it as noisy. Do not paste or analyze the full traversal and do not retry with a broader query.
On noisy output, pivot to explain/path for exact symbols or continue with rg in the surfaced files.
Summarize only the few relevant nodes and source locations in the answer.
Do not treat the presence of a node or path as proof that runtime behavior is correct. Confirm behavior in code and focused tests.

Graphify normally returns material from the corpus used to build the current graph. It can still be outside the immediate question, stale, or sourced from a previously merged/external corpus. Inspect source paths when provenance matters.

Read the full file on GitHub · 100 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2mo ago First seen · 100 lines · 59 tokens per session scan A b04fb58692e6

Subscribe to this mod's changes

graphify is a skill published in the GitHub repository EastStarAI/sanad-agent (47 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,014 once invoked, about $0.0002 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 2026-08-30.

ai-agent coding-agent dart desktop developer-tools flutter

graphify next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
graphifyEastStarAI/sanad-agent	Skill	47	yesterday	MIT	A	59	Claude Code, Codex
flutterpledgeandgrow/pledge-skills	Skill	10	3mo ago	MIT	A	126	Claude Code, Codex
at_client_skills-sdkatsign-foundation/at_client_sdk	Skill	1.4k	yesterday	BSD-3-Clause	A	220	Claude Code
flutter-pre-cachingevanca/flutter-ai-rules	Skill	669	yesterday	MIT	A	36	Claude Code
firebase-authevanca/flutter-ai-rules	Skill	669	yesterday	MIT	A	29	Claude Code
firebase-messagingevanca/flutter-ai-rules	Skill	669	yesterday	MIT	A	35	Claude Code
code-reviewevanca/flutter-ai-rules	Skill	669	yesterday	MIT	A	27	Claude Code

sanad-agent: Skill for Claude Code