Borrowing it
Nothing to install: this file belongs to levi-qiao/longgraph-skill. 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/levi-qiao/longgraph-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/levi-qiao/longgraph-skillWrote 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/levi-qiao/longgraph-skill/agents-md)<a href="https://agentmods.dev/instructions/levi-qiao/longgraph-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/levi-qiao/longgraph-skill/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/levi-qiao/longgraph-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/levi-qiao/longgraph-skill/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 | $0.01563 | $0.01563 |
| Opus 5.5 | $0.00625 | $0.00625 |
| Sonnet 5.5 | $0.00313 | $0.00313 |
| Haiku 4.5 | $0.00156 | $0.00156 |
Grade A, and why
longgraph-skill AGENTS.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Distribution**: installable via the curl script *and* the Claude Code plugin. The How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — working on longgraph-skill
Guidance for any agent (or human) editing this repo. Read before changing anything.
The same rules apply in Claude Code — CLAUDE.md imports this file.
What this repo is
A curated, opinionated prompt library for long-horizon agent work, framed as
"graph engineering." It ships Markdown prompts, not application code — there
is no build step and no runtime. One umbrella (/longgraph) checks whether the
method fits, then delegates to the loop-graph compiler. Specialized entries such as
skills/loop-converge/, skills/loop-deliver/, and
skills/loop-research/ bind a goal pack and follow that same compiler — they do
not add a runtime.
skills/loop-graph/— an executor node + a separate-context supervisor node, each on its own recurring timer, with no wake edge between them.skills/loop-converge/— preset entry: code-convergence interview → same compile.skills/loop-deliver/— preset entry: requirement-delivery interview → same compile.skills/loop-research/— preset entry: evidence-led solution selection → same compile.
Simple self-contained goals use the host's ordinary task/goal directly; longgraph does not wrap them in a second objective.
Deep context lives in lib/methodology.md (the why behind each
rule) and skills/loop-graph/docs/model.md (the
node/edge vocabulary + invariants). The contribution bar is in CONTRIBUTING.md.
Layout
| Path | What it is |
|---|---|
SKILL.md |
/longgraph router and authoring entrypoint; may launch nodes but never acts as one |
skills/loop-graph/SKILL.md |
shared compiler: interview → generate → deliver |
skills/loop-{converge,deliver,research}/ |
focused preset entries: bind their goal pack → same compile |
skills/loop-graph/templates/*.md |
compiled runtime prompts — not code; keep {{PLACEHOLDER}}s and structural headings intact |
skills/loop-graph/docs/preset-contract.md |
one source of truth for baseline versus goal-pack ownership |
skills/loop-graph/examples/ |
concrete, fully worked runs (these are project-specific — that's correct) |
skills/loop-graph/references/*.md |
one independently loaded owner per host (invocation, context, hooks, handoff fields) |
.claude-plugin/ |
Claude Code plugin + marketplace manifests |
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 · 99 lines · 1,563 tokens per session scan A 71e89f499ac6
longgraph-skill AGENTS.md is an instructions file published in the GitHub repository levi-qiao/longgraph-skill (78 stars, last pushed 1mo ago), licensed MIT. It adds 1,563 tokens to every session, about $0.0063 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.