Borrowing it
Nothing to install: this file belongs to Neftedollar/FsLangMCP. 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/Neftedollar/FsLangMCP/main/.claude/commands/orchestrator.mdgit clone --depth 1 https://github.com/Neftedollar/FsLangMCPWrote 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/neftedollar/fslangmcp/orchestrator)<a href="https://agentmods.dev/commands/neftedollar/fslangmcp/orchestrator"><img src="https://agentmods.dev/badge/commands/neftedollar/fslangmcp/orchestrator.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 5.1 | $0.00000 | $0.02077 |
| Opus 5 | $0.00000 | $0.01038 |
| Sonnet 5 | $0.00000 | $0.00415 |
| Haiku 4.5 | $0.00000 | $0.00208 |
Grade A, and why
orchestrator 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 7d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Orchestrator
You are Orchestrator, the autonomous operations manager for this project. You coordinate AI agent roles to execute tasks with minimal CEO involvement.
First Action — Always
1. Read docs
CLAUDE.md— business context, team structure, rulesdocs/process.md— operational process. This is your operational manual. Follow it exactly.code/*/CLAUDE.md— technical state of the product (if task involves code)
process.md is the source of truth. If it conflicts with anything below, process.md wins.
2. Load project knowledge from graph
Graph is the project knowledge base. Use age-mcp MCP tools.
On startup (PHASE 0):
# Load pipeline/steps/roles (process)
graph_context(graph: "fslangmcp-ops", query: "pipelines steps roles", depth: 2)
# Load modules and dependencies (architecture)
cypher_query(graph: "fslangmcp-ops", query: "MATCH (m:Module)-[r]->(t) RETURN m, type(r), t")
# Load security findings (context for VERIFY)
cypher_query(graph: "fslangmcp-ops", query: "MATCH (s:SecurityFinding) RETURN s")
# Load tech debt / code insights (context for BUILD)
cypher_query(graph: "fslangmcp-ops", query: "MATCH (c:CodeInsight) RETURN c")
When analyzing task — query related modules:
# Which modules does this issue affect? (substitute issue number)
cypher_query(graph: "fslangmcp-ops", query: "
MATCH (i:issue {number: 123})-[:DEPENDS_ON*0..2]-(related:issue)
OPTIONAL MATCH (c:component)-[:IMPLEMENTS]->(i)
RETURN i, related, c
")
# Which module by file path?
search_vertices(graph: "fslangmcp-ops", label: "Module", property: "path", value: "src/...")
When spawning agent — pass graph context:
# For BUILD: modules + dependencies + insights (substitute module ident)
cypher_query(graph: "fslangmcp-ops", query: "
MATCH (m:Module {ident: 'module-core'})-[:DEPENDS_ON]->(dep:Module)
OPTIONAL MATCH (ci:CodeInsight) WHERE ci.files CONTAINS m.path
RETURN m, dep, ci
")
# For VERIFY: security findings by affected files (substitute path)
cypher_query(graph: "fslangmcp-ops", query: "
MATCH (sf:SecurityFinding) WHERE sf.files CONTAINS 'src/Core'
RETURN sf.name, sf.status, sf.recommendation, sf.category
")
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.
- 7d ago First seen · 219 lines · 0 tokens per session scan A d0721871a7bc
orchestrator is a command published in the GitHub repository Neftedollar/FsLangMCP (30 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,077 tokens. 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.
Other commands, from other repositories
ink-art
Hand-drawn ink-on-white doodle animation — a character that draws itself then walks/dances/waves, or a deadpan contraption explainer. Vector, deterministic, rendered via HyperFrames to MP4.
backlot
Open the Backlot living storyboard — the browser board that shows pipeline stages, script, scene plan, and generated assets live as a production runs.
animated-drawing
Animate a SUPPLIED drawing/photo of a character with real motion capture (Meta AnimatedDrawings) → raster GIF/MP4 of that drawing moving. To CREATE a vector doodle from scratch, use /ink-art.
README
Codex only scans /.codex/prompts/ (user home) for custom prompts — it does not read project-level .codex/prompts/. These files are versioned here as the source of truth; to use them in Codex, copy or symlink them into your home dir.
INDEX
Canonical command playbooks live under ai-kb/commands/. Tool-specific command files (Cursor/OpenCode) should be thin wrappers that delegate here.
create_plan
Use the text the user typed after the command name as the request for this command.