Borrowing it
Nothing to install: this file belongs to phuoctrung-ppt/ai-sdlc-workflow. 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/phuoctrung-ppt/ai-sdlc-workflow/master/.cursor/commands/shape-lite.mdgit clone --depth 1 https://github.com/phuoctrung-ppt/ai-sdlc-workflowWrote 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/phuoctrung-ppt/ai-sdlc-workflow/shape-lite)<a href="https://agentmods.dev/commands/phuoctrung-ppt/ai-sdlc-workflow/shape-lite"><img src="https://agentmods.dev/badge/commands/phuoctrung-ppt/ai-sdlc-workflow/shape-lite/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/phuoctrung-ppt/ai-sdlc-workflow/shape-lite"><img src="https://agentmods.dev/badge/commands/phuoctrung-ppt/ai-sdlc-workflow/shape-lite.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 | $0.00032 | $0.00654 |
| Opus 5.5 | $0.00013 | $0.00262 |
| Sonnet 5.5 | $0.00006 | $0.00131 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
shape-lite 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shape-Lite (new idea / small feature)
When to use: new idea, small feature, “should we build X?”, quick scope before coding — without running the full /plan-feature or /dev-module ceremony.
When NOT to use: already-approved plan, pure bugfix → use /fix; large multi-module product → /plan-feature.
Act as Architect Planner in shape-lite mode only.
Goal
Write a single short shape note (≤ ~80 lines) that lets an indie decide:
- Ship now via
/fixor implement-small, or - Escalate to full plan + Design Contract, or
- Drop / defer.
Hard constraints
- No full ADR stack, no task tables of 20 rows, no DESIGN-GATE unless the idea is clearly UI-heavy and user asks to continue.
- Prefer portable skills already rated high in this repo:
planning(compact)agentic-workflowapi-contract-first(only if API surface changes)saas-product-ui/taste-design— only mention if UI is in scope; do not generate marketing slop
- Domain-agnostic: do not assume AI Workspace or any specific product domain.
Steps
0 — Context
python3 .cursor/scripts/office-event.py --agent architect-planner --status working --task "Shape-lite: {idea}" --phase plan --workflow shape-lite
python3 .cursor/context/context-builder.py \
--phase plan \
--task "shape-lite: {idea}" \
--agent architect-planner \
--keywords "shape,scope,mvp,indie" \
--budget 4000
1 — Write shape note
Path: docs/plans/shape/YYYY-MM-DD-{slug}.md
Template: docs/plans/_templates/shape-lite.md
Fill every section briefly. Prefer bullets over prose.
2 — Recommend next command
End the shape note with exactly one of:
NEXT: /fix— if the work is a small patch on existing codeNEXT: implement-small— if greenfield but ≤ ~3 files, no schema, no new UI systemNEXT: /plan-feature— if multi-module, protected, or needs ADRNEXT: design-spec— if new visible UI needs Design Contract firstNEXT: drop— if not worth building now
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 · 72 lines · 32 tokens per session scan A 154bd5a5e49b
shape-lite is a command published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 654 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 2026-09-08.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
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.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.