Borrowing it
Nothing to install: this file belongs to ffroliva/gflow-cli. 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/ffroliva/gflow-cli/develop/.claude/commands/gflow/plan.mdgit clone --depth 1 https://github.com/ffroliva/gflow-cliWrote 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/ffroliva/gflow-cli/plan)<a href="https://agentmods.dev/commands/ffroliva/gflow-cli/plan"><img src="https://agentmods.dev/badge/commands/ffroliva/gflow-cli/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/ffroliva/gflow-cli/plan"><img src="https://agentmods.dev/badge/commands/ffroliva/gflow-cli/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 | $0.00022 | $0.00260 |
| Opus 5.5 | $0.00009 | $0.00104 |
| Sonnet 5.5 | $0.00004 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
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.
What it actually says
/gflow:plan <feature> — Create a feature plan
Read skills/plan/SKILL.md and follow its protocol now, passing $ARGUMENTS as the feature description.
Do not call
Skill(skill="plan")— the repo'sskills/*/SKILL.mdfiles are plain Markdown, not registered as Skill-tool-invocable. Read the file directly instead.
The skill at skills/plan/SKILL.md gathers predict/scenario context, asks ≤3
clarifying questions, decomposes the feature into atomic committable tasks with
step + test checklists, and writes docs/superpowers/plans/<date>-<slug>/PLAN.md.
Typical workflow:
/gflow:predict <proposal> → GO / CAUTION / STOP
/gflow:scenario <feature> → edge cases + BDD skeleton
/gflow:plan <feature> → writes PLAN.md ← this command
/gflow:status → surfaces next task
/gflow:check → before each commit
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 · 23 lines · 22 tokens per session scan A 7f53cf0760d5
plan is a command published in the GitHub repository ffroliva/gflow-cli (337 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 260 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other commands, from other repositories
lint
Check the project for naming, security and best-practice issues.
proposal
Create a structured feature proposal in docs/11-proposals/.
proposal-lint
Audit docs/11-proposals/ for status drift and convention violations.
fix-issue
Diagnose and fix a reported bug, with the evidence bar the PR checklist expects.
create-entity
Create a new entity in the domain model using MDL.
hatch3r-workflow
Guided development lifecycle with 4 phases (Analyze, Plan, Implement, Review) and scale-adaptive Quick Mode for small tasks; --plan-file executes an approved plan document without re-deriving it.