Borrowing it
Nothing to install: this file belongs to luanmorenommaciel/agentspec. 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/luanmorenommaciel/agentspec/main/.claude/commands/workflow/define.mdgit clone --depth 1 https://github.com/luanmorenommaciel/agentspecWrote 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/luanmorenommaciel/agentspec/define)<a href="https://agentmods.dev/commands/luanmorenommaciel/agentspec/define"><img src="https://agentmods.dev/badge/commands/luanmorenommaciel/agentspec/define/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/luanmorenommaciel/agentspec/define"><img src="https://agentmods.dev/badge/commands/luanmorenommaciel/agentspec/define.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 | $0.00014 | $0.01109 |
| Opus 5.5 | $0.00006 | $0.00444 |
| Sonnet 5.5 | $0.00003 | $0.00222 |
| Haiku 4.5 | $0.00001 | $0.00111 |
Grade A, and why
define 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Define Command
Capture requirements and validate them in one pass (Phase 1)
Usage
/define <input> [--judge[=MODE]]
Examples
# From a BRAINSTORM document (recommended after /brainstorm)
/define .claude/sdd/features/BRAINSTORM_NOTIFICATION_SYSTEM.md
# From meeting notes or raw input
/define notes/meeting-notes.md
/define "Build an API gateway for user management"
/define docs/stakeholder-email.txt
# With cross-model judge for spec quality verification (opt-in)
/define BRAINSTORM_AUTH.md --judge # advisory, default openai/gpt-4o
/define BRAINSTORM_AUTH.md --judge=strict # gated — FAIL blocks completion
/define BRAINSTORM_AUTH.md --judge=anthropic/claude-opus-4 # custom model (advisory)
/define BRAINSTORM_AUTH.md --judge=strict:openai/gpt-4o # gated + custom model
What happens
This command is the Phase 1 entrypoint; the methodology — process steps, scoring rubric, quality gate, anti-patterns — lives in the skill, not here.
- Load
.claude/skills/sdd-define/SKILL.mdand follow it: input classification, entity extraction, technical and data engineering context, clarity scoring against the 12/15 gate, gap filling. - Produce the DEFINE document at
.claude/sdd/features/DEFINE_{FEATURE_NAME}.md(structure:.claude/sdd/templates/DEFINE_TEMPLATE.md) and update document statuses per the workflow contracts. - Suggest the next phase:
/design .claude/sdd/features/DEFINE_{FEATURE_NAME}.md.
Optional Judge Pass (--judge)
Runs only if the user invoked with --judge[=MODE]. This is a cross-model
second opinion on the spec you just wrote, using a non-Claude model via
OpenRouter. Defaults are designed so most users never notice the flag exists.
Flag parsing (parse from the user's command args):
| Input | Mode | Model |
|---|---|---|
--judge |
advisory | phase default (openai/gpt-4o for define) |
--judge=strict |
gated | phase default |
--judge=MODEL_SLUG |
advisory | MODEL_SLUG |
--judge=strict:MODEL_SLUG |
gated | MODEL_SLUG |
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 · 113 lines · 14 tokens per session scan A c8c152fda3fb
define is a command published in the GitHub repository luanmorenommaciel/agentspec (256 stars, last pushed 3d ago), licensed MIT. It adds 14 tokens to every session and 1,109 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 2026-09-01.
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.