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.
npx agentmods add instructions/zinklu/orca-orchestration/agents-mdgit clone --depth 1 https://github.com/ZinkLu/Orca-OrchestrationWrote 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/zinklu/orca-orchestration/agents-md)<a href="https://agentmods.dev/instructions/zinklu/orca-orchestration/agents-md"><img src="https://agentmods.dev/badge/instructions/zinklu/orca-orchestration/agents-md.svg" alt="Measured on agentmods" 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 | $0.03279 | $0.03279 |
| Opus 5 | $0.01639 | $0.01639 |
| Sonnet 5 | $0.00656 | $0.00656 |
| Haiku 4.5 | $0.00328 | $0.00328 |
Grade C, and why
Orca-Orchestration AGENTS.md scanned grade C 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 5d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- `dist-npm/` — the staged npm package, rebuilt from scratch by `scripts/build-npm.mjs` (it `rm -rf`s the dir first). Never hand-edit; the `package.json` in there is generated. How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for agents working in this repo (editing the viewer/tooling or the skill doc). For using the skill to build DAGs, read skill/SKILL.md and README.md instead. CLAUDE.md is a symlink to this file — edit here, don't replace the link.
Project shape
Two independent modules in one npm-workspaces repo (workspaces: [server, web]):
skill/SKILL.md— a published agent skill (frontmatter + prose). Teaches an external agent to build an Orca orchestration task DAG via theorcaCLI. No code; edit it like a doc, keep frontmatter intact.server/+web/— theorca-dagviewer: an Express API + React Flow SPA that visualizes a Run's DAG and runs a self-driven coordinator loop. Compiles to a single portable binary (dist/orca-dag).
This repo is a thin, heavily-commented wrapper over the orca CLI. Every Orca quirk is documented in server/src/orca.ts comments — read them before touching orchestration code.
Commands
npm install
npm run dev # BOTH server (:8787) + web (:5173) via concurrently; vite proxies /api → :8787
npm run dev:server # tsx watch src/index.ts (server only)
npm run dev:web # vite (web only)
npm run build # web only: tsc -b && vite build → web/dist
npm run build:binary # web build → embed as base64 in server/src/generated/webAssets.ts → bun --compile → dist/orca-dag
npm run build:npm # web build → esbuild the server → dist-npm/ (the publishable `orca-dag` package; Node only, no Bun)
npm start # server (tsx) against web/dist on disk; needs `npm run build` first for UI
- No
lint,test, ortypecheckscripts exist. Typecheck manually:- web:
npm run build -w web(runstsc -bfirst, fails fast on type errors) - server:
npx tsc -p server/tsconfig.json --noEmit
- web:
build:binaryrequiresbunon PATH (not declared as a dependency). Cross-compile withTARGET=bun-linux-x64 npm run build:binary.- Binary runtime env:
PORT(8787),NO_OPEN=1(skip browser),WORKSPACE_DIR(overridesactiveworktree),ORCA_WORKTREE(defaultactive).
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.
- 5d ago First seen · 86 lines · 3,279 tokens per session scan C e53b98cd207e
Orca-Orchestration AGENTS.md is an instructions file published in the GitHub repository ZinkLu/Orca-Orchestration (135 stars, last pushed 21d ago), licensed MIT. It adds 3,279 tokens to every session, about $0.0164 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). 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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.