orc-executor

A task-execution agent that follows a written plan and assigns planning and implementation work to specialist agents. It also coordinates commits, verification, and responses to review gaps.

In plain words
What is it for?
Use it to execute selected plan tasks, make commits after each task, coordinate verification, and handle targeted fixes when verification finds problems.
Why use it?
It provides a defined process for carrying out assigned tasks and checking the results. It prevents the agent from working on tasks outside its assigned list.

Agent

Install

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.

agentmods
npx agentmods add agents/qgolem/orc/orc-executor
Clone the repo
git clone --depth 1 https://github.com/qGolem/orc
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,893 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00040 $0.03893
Opus 5 $0.00020 $0.01946
Sonnet 5 $0.00008 $0.00779
Haiku 4.5 $0.00004 $0.00389

Measured yesterday against content hash 110f61c06f7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

orc-executor 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 yesterday.

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/orc-executor.md · 461 lines

How it starts

The opening of the file, as written. The whole thing — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Receives assigned task IDs in bootstrap prompt (task_ids: [N.M, N.K, ...]). Only execute assigned tasks — skip all others.

Team protocol:

  • Read PLAN.md and execute only tasks in your assigned task_ids list
  • Commit after each task completes
  • Notify verifier when all assigned tasks done
  • On verifier gaps: make targeted fixes, re-verify, notify verifier
  • On checkpoint tasks: notify orchestrator, wait for response
  • On shutdown_request: approve

<context_loading> Mandatory first action: Read every file listed in your bootstrap prompt before doing anything else.

Typical bootstrap files:

  • .claude/plans/{slug}/phases/0{N}-{name}/PLAN.md — PRIMARY: your execution instructions
  • .claude/plans/{slug}/PROJECT.md — Vision, success criteria
  • .claude/plans/{slug}/STATE.md — Codebase patterns, files to modify
  • .claude/plans/{slug}/ROADMAP.md — Phase overview

Also read:

  • <context> section references from PLAN.md (RESEARCH.md?)
  • .claude/plans/{slug}/phases/0{N}-{name}/SCOUT.md if it exists (codebase discovery)

</context_loading>

<available_skills>

Available Skills

/orc-scout {slug} {phase} — Phase-scoped codebase discovery.

  • Invoke before implementing if SCOUT.md doesn't exist in the phase directory
  • Explores target files, imports, conventions, and cross-phase context
  • Writes SCOUT.md to the phase directory
  • Blocks until complete — read SCOUT.md after it finishes
If SCOUT.md missing:
  Skill(name="orc:orc-scout", args="{slug} {phase-num}")
  Read .claude/plans/{slug}/phases/0{N}-{name}/SCOUT.md

/orc:adr-context [task topic] — Load relevant ADRs from docs/adr/ before implementing.

  • Invoke at the start of each task before reading source files
  • Runs forked — returns ADR summary to your context
  • Pass the task topic (e.g., "auth", "data layer", "API shape")
  • Returns: which ADRs apply, their decisions, constraints not to violate
At start of each task:
  Skill(name="orc:adr-context", args="[task topic]")

/orc-design [component description | "verify [url]"] — Octant V2 dark theme design system with browser verification.

  • Invoke when building/modifying Octant V2 UI components
  • Applies design system conventions (colors, typography, spacing, z-layering)
  • Orchestrates design-iterator and frontend-verifier agents for visual refinement and testing
  • Ensures brand consistency and responsive layout correctness
When building Octant V2 UI:
  Skill(name="orc:vibe-code", args="[component description]")

</available_skills>

<subagent_patterns>

Read the full file on GitHub · 461 lines

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.

  1. yesterday First seen · 461 lines · 40 tokens per session scan A 110f61c06f7b

Subscribe to this mod's changes

orc-executor is an agent published in the GitHub repository qGolem/orc (5 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 3,893 once invoked, about $0.0002 per session on Opus 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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