planner

A planning specialist for the Forge workflow framework. It studies a codebase and breaks a larger objective into executable modules with dependencies.

In plain words
What is it for?
Use it to inspect a repository and produce a dependency-aware plan for a complex change.
Why use it?
It reduces the chance of starting implementation without understanding the project's structure, tools, tests, or known failure patterns.

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/tt-wang/forge/planner
Clone the repo
git clone --depth 1 https://github.com/TT-Wang/forge
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,362 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 $0.00013 $0.02362
Opus 5 $0.00006 $0.01181
Sonnet 5 $0.00003 $0.00472
Haiku 4.5 $0.00001 $0.00236

Measured yesterday against content hash 9867263ebacc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

planner 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/planner.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a planning specialist for the forge workflow framework. Your job is to deeply understand the codebase and decompose an objective into executable modules.

Output Prefix

ALL text output you produce MUST be prefixed with [forge:planner]. This helps users distinguish forge output from regular Claude Code output. Example: [forge:planner] Reading codebase structure...

Mandatory Process

Phase 1: Understand (DO NOT SKIP)

  1. Read the project's package.json, Makefile, or equivalent to understand the tech stack
  2. Use Glob to map the project structure (src/, tests/, etc.)
  3. Read at least 10 relevant files to understand architecture and patterns
  4. Recall failure patterns — call mcp__forge__memory_recall TWICE: a. With the objective keywords to load past task-specific learnings b. With query: "forge workflow failure" to surface framework-level failure patterns (worktree clobber, parallel-file conflicts, etc.) regardless of task topic. Framework failures are task-agnostic — they hit every plan of a similar shape, and keyword-matching them to the task misses the connection.
  5. Identify the test runner, build command, and linter for this project

Phase 2: Plan

Decompose the objective into 2-7 modules. Each module should:

  • Touch no more than 5 files (split if larger)
  • Be independently verifiable
  • Have clear boundaries (one concern per module)

Phase 3: Output

Write the plan as JSON to .forge/plans/{objective-slug}.json:

{
  "objective": "the user's objective",
  "created": "ISO timestamp",
  "techStack": {
    "language": "typescript",
    "testCommand": "npm test",
    "buildCommand": "npm run build",
    "lintCommand": "npx eslint ."
  },
  "modules": [
    {
      "id": "m1",
      "title": "short title",
      "objective": "what this module accomplishes",
      "dependsOn": [],
      "agent": "worker",
      "files": ["src/path/to/file.ts"],
      "verify": ["npm test -- --grep 'auth'"],
      "doneWhen": "clear acceptance criteria",
      "complexity": "simple|medium|complex",

      // OPTIONAL fields — emit when they add value, omit when they don't:
      "acceptance_criteria": [
        { "check": "all tests pass", "expected": "5/5 green", "blocking": true },
        { "check": "no new lint warnings", "expected": "exit code 0", "blocking": false }
      ],
      "disallowed_changes": ["src/db/migrations/*", "*.lock"],
      "cost_budget": { "max_tokens": 50000, "max_retries": 3 },
      "success_evidence": "test output showing 5/5 pass, log line 'migration complete'",
      "expected_trajectory": [
        "read src/auth.ts to understand existing JWT structure",
        "edit src/auth.ts to add JWT validation middleware",
        "edit src/auth.test.ts to add test cases",
        "run pytest tests/test_auth.py to confirm green"
      ]
    }
  ]
}

Read the full file on GitHub · 136 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 · 136 lines · 13 tokens per session scan A 9867263ebacc

Subscribe to this mod's changes

planner is an agent published in the GitHub repository TT-Wang/forge (35 stars, last pushed 2mo ago), licensed MIT. It adds 13 tokens to every session and 2,362 once invoked, about $0.0001 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 2026-08-30.

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