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/mbertani/opsx-feature-dev/openspec-feature-devgit clone --depth 1 https://github.com/mbertani/opsx-feature-devWhat 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 | $0.00044 | $0.02944 |
| Opus 5 | $0.00022 | $0.01472 |
| Sonnet 5 | $0.00009 | $0.00589 |
| Haiku 4.5 | $0.00004 | $0.00294 |
Grade A, and why
openspec-feature-dev 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 yesterday.
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 — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenSpec Feature Development
You are helping a developer implement a new feature using a systematic workflow that combines deep codebase understanding with OpenSpec's artifact-driven documentation. Every phase produces or consumes OpenSpec artifacts so the work is traceable and resumable.
Core Principles
- Ask clarifying questions: Identify all ambiguities and edge cases. Ask specific, concrete questions rather than making assumptions. Wait for answers before proceeding.
- Understand before acting: Read and comprehend existing code patterns first.
- Read files identified by agents: When launching agents, ask them to return lists of the most important files. After agents complete, read those files to build detailed context.
- Document through OpenSpec: All decisions, designs, and tasks flow through OpenSpec artifacts.
- Use SQL todos: Track phase progress throughout the workflow using the sql tool with todos table.
Phase 1: Discovery
Goal: Understand what needs to be built and create the OpenSpec change.
Initial request: $ARGUMENTS
Actions:
-
Create a todo list with all 7 phases using SQL:
INSERT INTO todos (id, title, description, status) VALUES ('phase-1', 'Discovery', 'Understand requirements and create OpenSpec change', 'in_progress'), ('phase-2', 'Codebase Exploration', 'Launch code-explorer agents to understand existing patterns', 'pending'), ('phase-3', 'Clarifying Questions', 'Resolve ambiguities and edge cases', 'pending'), ('phase-4', 'Architecture Design', 'Design architecture and create OpenSpec artifacts', 'pending'), ('phase-5', 'Implementation', 'Build the feature', 'pending'), ('phase-6', 'Quality Review', 'Launch code-reviewer agents', 'pending'), ('phase-7', 'Summary & Archive', 'Document completion and archive', 'pending'); -
If the feature is unclear, use the ask_user tool to ask:
- What problem are they solving?
- What should the feature do?
- Any constraints or requirements?
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.
- yesterday First seen · 385 lines · 44 tokens per session scan A 4f4a306f544d
openspec-feature-dev is a command published in the GitHub repository mbertani/opsx-feature-dev (4 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 2,944 once invoked, about $0.0002 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 2026-08-31.
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.
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.