Borrowing it
Nothing to install: this file belongs to DimitriGeelen/agentic-engineering-framework. 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/DimitriGeelen/agentic-engineering-framework/master/.claude/commands/plan.mdgit clone --depth 1 https://github.com/DimitriGeelen/agentic-engineering-frameworkWrote 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/dimitrigeelen/agentic-engineering-framework/plan)<a href="https://agentmods.dev/commands/dimitrigeelen/agentic-engineering-framework/plan"><img src="https://agentmods.dev/badge/commands/dimitrigeelen/agentic-engineering-framework/plan/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/dimitrigeelen/agentic-engineering-framework/plan"><img src="https://agentmods.dev/badge/commands/dimitrigeelen/agentic-engineering-framework/plan.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00484 |
| Opus 5.5 | $0.00000 | $0.00194 |
| Sonnet 5.5 | $0.00000 | $0.00097 |
| Haiku 4.5 | $0.00000 | $0.00048 |
Grade A, and why
plan 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 1mo 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/plan - Lightweight Implementation Plan
Create a concise implementation plan for the current task. Use after exploration is done and direction is chosen, before starting to build.
Prerequisites
- Verify an active task exists (
cat .context/working/focus.yaml) - Task should have a clear direction — if not, run
/explorefirst
Workflow
Step 1: Assess Scope
Read the active task file. Count deliverables. If more than 3 independent deliverables, suggest decomposition before planning.
Step 2: Write the Plan
Create docs/plans/{date}-{task-slug}.md with this structure:
# Plan: {Task Name}
**Task:** T-XXX
**Goal:** One sentence.
**Approach:** One paragraph explaining the chosen approach and why.
## Tasks
1. **{What to build}** — {what to verify} — {files touched}
2. **{What to build}** — {what to verify} — {files touched}
...
## Technical Notes
- {Key decision or constraint, one line each}
## Open Questions
- {Anything unresolved, if any}
Plan rules:
- Target: under 100 lines. If longer, the plan is too detailed.
- One line per task. No step-by-step instructions — the agent doing the work decides HOW.
- No complete code in plans. Code belongs in implementation, not planning.
- No TDD ceremony per task. Testing is part of each task's verification, not a separate step.
- No embedded skill directives ("REQUIRED SUB-SKILL", etc.) — the plan is for humans and agents alike.
Step 3: Present for Approval
Print a summary (task list + key decisions) in conversation. Ask: "Plan written to {path}. Ready to start, or changes needed?"
Wait for user approval before any implementation begins.
Rules
- This skill does ONE thing: plan. It does not start building.
- No skill chaining — do not invoke
/exploreor any other skill from within this skill. - Plans are living documents — update them as work progresses, don't treat them as contracts.
- If the task is small enough to not need a plan (single file, obvious change), say so instead of writing one.
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.
- 1mo ago First seen · 62 lines · 0 tokens per session scan A 940bb8a446ab
plan is a command published in the GitHub repository DimitriGeelen/agentic-engineering-framework (18 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 484 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 2026-09-04.
Other commands, from other repositories
strict_full_cycle
Interactive workflow for the entire development cycle with every review gate forced on, ignoring the reviews a repository disabled in its configuration.
speckit.taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
speckit.analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
speckit.clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
speckit.constitution
Create or update the project constitution from interactive or provided principle inputs.
speckit.plan
Execute the implementation planning workflow using the plan template to generate design artifacts.