Borrowing it
Nothing to install: this file belongs to Thanarak-q/graph-engineering-workflow. 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/Thanarak-q/graph-engineering-workflow/main/AGENTS.mdgit clone --depth 1 https://github.com/Thanarak-q/graph-engineering-workflowWrote 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/instructions/thanarak-q/graph-engineering-workflow/agents-md)<a href="https://agentmods.dev/instructions/thanarak-q/graph-engineering-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/thanarak-q/graph-engineering-workflow/agents-md/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/instructions/thanarak-q/graph-engineering-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/thanarak-q/graph-engineering-workflow/agents-md.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 | $0.00924 | $0.00924 |
| Opus 5.5 | $0.00370 | $0.00370 |
| Sonnet 5.5 | $0.00185 | $0.00185 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
graph-engineering-workflow AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
This repository packages one portable Agent Skill. The root contains the primary artifacts:
SKILL.md— normative workflow instructions for building and verifying agent graphs.README.md— installation, usage, examples, and the Mermaid workflow diagram.references/— detail the skill loads on demand; keepSKILL.mdlean by putting templates and long schemas here.evals/— behavior cases (evals/cases/*.yaml), the expectationlexicon.md, and how to run them.scripts/check.sh— the repository checks; run before every change.adapters/,agents/— host-specific loading notes and interface metadata.CHANGELOG.md— versioned record of behavior changes and known gaps.LICENSE— MIT license terms.
There is no application source tree or build output. SKILL.md loads in full whenever the skill activates, so new detail belongs in references/ unless an agent needs it on every run.
Build, Test, and Development Commands
No build system is configured, and there is no runner that executes the behavior evals. What is
checkable is internal consistency, and scripts/check.sh checks it:
./scripts/check.sh # Links, case shape, lexicon, README/rubric sync, size, whitespace
It verifies that every relative markdown link resolves, that every eval case parses and its id
matches its filename, that every expectation token is defined in evals/lexicon.md, that the
rubric table in README.md still matches references/rubric.md row for row, that SKILL.md
stays near the always-loaded size guidance, and that git diff --check is clean. CI runs the
same script. Review the normative documents by hand as well:
cat SKILL.md # The normative document, loaded in full on activation
cat references/rubric.md # The acceptance criteria the grader scores
For installation-related changes, inspect the documented CLI commands with a dry run or the CLI’s listing mode where available; do not install globally as part of routine validation.
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 · 59 lines · 924 tokens per session scan A 02d00a78bd11
graph-engineering-workflow AGENTS.md is an instructions file published in the GitHub repository Thanarak-q/graph-engineering-workflow (6 stars, last pushed 2mo ago), licensed MIT. It adds 924 tokens to every session, about $0.0037 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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