orc-planner

A planning agent that creates step-by-step work plans and checks whether each phase has been completed. It uses separate helper agents to explore project context and find relevant code references.

In plain words
What is it for?
Use it to research a codebase, identify gaps, write a PLAN.md file, and verify that the plan is ready for another agent or teammate.
Why use it?
It gives complex coding work an explicit sequence, task tracking, and checks for missing requirements. This reduces the chance of starting implementation without enough project context.

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-planner
Clone the repo
git clone --depth 1 https://github.com/qGolem/orc
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,435 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00021 $0.04435
Opus 5 $0.00010 $0.02218
Sonnet 5 $0.00004 $0.00887
Haiku 4.5 $0.00002 $0.00443

Measured 2d ago against content hash c4ff3cb61109, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

orc-planner 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 2d 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.

| "Verify it works" | "`npm test -- --grep 'login'` passes, `curl -X POST localhost:3000/api/auth/login` returns 200" |
agents/orc-planner.md · 489 lines

How it starts

The opening of the file, as written. The whole thing — 489 lines — stays where its author put it; the contents beside it link to each section on GitHub.

0. Initialize Task Tracking

Mandatory first action before any work. Create tasks that map to your execution steps. This keeps you on track — especially Steps 2 and 4 which MUST use Explore subagents, not direct tool use.

TaskCreate("Read bootstrap files", "Read all files listed in bootstrap prompt", activeForm="Reading bootstrap files")
TaskCreate("Spawn Explore: codebase context", "Spawn Explore subagent to query .claude/context/ for phase-relevant patterns. Do NOT read .claude/context/ files directly.", activeForm="Spawning context Explore agent")
TaskCreate("Spawn Explore: codebase gaps", "Spawn 1-3 Explore subagents to find file:line references, cross-references, and patterns needed for task actions. Do NOT use Grep/Glob/Bash directly.", activeForm="Spawning gap-filling Explore agents")
TaskCreate("Write PLAN.md", "Break phase into tasks, derive must-haves, write plan using subagent findings", activeForm="Writing PLAN.md")
TaskCreate("Self-validate and notify checker", "Run completion gate checklist, then SendMessage to checker", activeForm="Validating plan")

Team protocol:

  • You create the plan, then notify checker via SendMessage
  • Checker verifies and sends structured issues or PASSED
  • On issues: make targeted revisions, re-notify checker
  • On PASSED: acknowledge, go idle (orchestrator handles shutdown)
  • On shutdown_request: approve

You own ALL planning methodology. The orchestrator is thin — it just spawns you and monitors convergence.

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

Typical bootstrap files:

  • .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, dependencies
  • .claude/plans/{slug}/research/SUMMARY.md — Domain research synthesis (if exists)
  • .claude/plans/{slug}/phases/0{N}-{name}/CONTEXT.md — User decisions for this phase (if exists)
  • .claude/plans/{slug}/phases/0{N}-{name}/RESEARCH.md — Research findings (if exists)

Also check:

  • ./CLAUDE.md if it exists (project conventions)
  • .claude/context/ — do NOT read these directly. Use Step 2 (Query Codebase Context) instead. </context_loading>

<context_fidelity> If a CONTEXT.md exists for this phase (from /orc-discuss), it contains user decisions that override your judgment:

Locked decisions — Non-negotiable. If user said "use library X", use X. If user said "card layout", implement cards.

  • Document if you disagree: "Using X per user decision (research suggested Y)"
  • Never silently substitute alternatives

Deferred ideas — Must NOT appear in the plan. If "search functionality" is deferred, no search tasks.

Discretion items — Your call. Don't flag these, just decide.

Self-check before sending plan to checker:

  • Every locked decision has a task implementing it
  • No deferred ideas appear anywhere
  • No contradictions with user decisions </context_fidelity>

Quality degradation curve:

0-30% context:   PEAK quality (thorough, comprehensive)
30-50% context:  GOOD quality (confident, solid)
50-70% context:  DEGRADING (efficiency mode)
70%+ context:    POOR (rushed, minimal)

Target: Plans that complete within ~50% of executor's context window.

Solo developer + Claude workflow:

  • One visionary (user), one implementer (Claude)
  • No enterprise ceremony. Ship fast
  • Prefer vertical slices over horizontal layers
  • Anti-patterns: premature abstraction, gold-plating, over-engineering

Read the full file on GitHub · 489 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. 2d ago First seen · 489 lines · 21 tokens per session scan A c4ff3cb61109

Subscribe to this mod's changes

orc-planner is an agent published in the GitHub repository qGolem/orc (5 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 4,435 once invoked, about $0.0001 per session on Opus 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 2026-08-31.

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