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.
npx agentmods add commands/hffmnnj/goopspec/goop-discussgit clone --depth 1 https://github.com/hffmnnj/goopspecWrote 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/hffmnnj/goopspec/goop-discuss)<a href="https://agentmods.dev/commands/hffmnnj/goopspec/goop-discuss"><img src="https://agentmods.dev/badge/commands/hffmnnj/goopspec/goop-discuss.svg" alt="Measured on agentmods" 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 | $0.01227 |
| Opus 5 | $0.00007 | $0.00613 |
| Sonnet 5 | $0.00003 | $0.00245 |
| Haiku 4.5 | $0.00001 | $0.00123 |
Grade A, and why
goop-discuss 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 6d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/goop-discuss
Start the discovery interview. Capture vision, must-haves, constraints, out-of-scope items, assumptions, and risks before planning.
This command ALWAYS starts a brand-new workflow. Never reuse or append to the current or last active workflow. Every
/goop-discussinvocation creates a fresh workflowId, a new git branch, and ultimately a new PR.
Immediate action
Load the interview protocol first:
goop_reference({ name: "discovery-interview" })
Do not load any documents (via
goop_boot,goop_read_db, or any other tool) at the start of this command — no spec, blueprint, chronicle, or requirements from any workflow. This is a state-only boot; a brand-new discovery has no use for prior planning content. The reference load above is fine — only document loads are forbidden.
Steps
- Create and activate a new workflow in a single call — do not reuse the active one, and do not split this into a separate
create-workflow+set-active-workflowpair. Infer a kebab-caseworkflowIdfrom the user's prompt (or use the suppliedworkflow-idargument), then:goop_state({ action: "create-workflow", workflowId: "<new-id>", activate: true })- Trust a successful response and move to step 2 immediately. Do not regenerate the ID or repeat this call — see
references/core-protocol.md§Trust Successful Tool Results for why repeating an already-succeeded state call is a bug, not a safety measure.
- Checkout a new git branch named after the workflowId before any file writes:
git checkout -b <workflowId>- All implementation work for this workflow happens on this branch. Agents must never switch branches mid-workflow or work across multiple branches simultaneously.
- Ask all seven discovery categories (vision, must-haves, constraints, out-of-scope, assumptions, risks, and atomic PR preference) directly. Use the
questiontool for structured answers; mark exactly one option(Recommended). - Probe until each category has specifics. Empty must-haves, out-of-scope, or risks are invalid.
- Summarize and confirm with the user.
- Write REQUIREMENTS.md via
goop_write_db({ doc_type: "requirements", content: "..." })and callgoop_state({ action: "complete-interview" }). The tool renders the markdown sidecar automatically.REQUIREMENTS.md must include a
## Atomic PR Strategysection. - Remind the user that with Atomic PRs, one PR is opened per wave during
/goop-execute, and/goop-acceptwill offer to merge the full stack in order. - Suggest
/goop-plan. Note:/goop-plannow begins with a research-first gate — the orchestrator auto-dispatchesgoop-researcher(and optionallygoop-explorer) before delegating to the planner. Trivial workflows (≤ 2 files, no domain unknowns) may skip the research pass, with the decision logged to ADL.
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.
- 6d ago First seen · 75 lines · 14 tokens per session scan A 691bd9783e19
goop-discuss is a command published in the GitHub repository hffmnnj/goopspec (46 stars, last pushed 24d ago), licensed MIT. It adds 14 tokens to every session and 1,227 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.
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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
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.