Borrowing it
Nothing to install: this file belongs to mohamed-benoughidene/openreview-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/mohamed-benoughidene/openreview-cli/main/.opencode/commands/speckit.plan.mdgit clone --depth 1 https://github.com/mohamed-benoughidene/openreview-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/mohamed-benoughidene/openreview-cli/speckit.plan)<a href="https://agentmods.dev/commands/mohamed-benoughidene/openreview-cli/speckit.plan"><img src="https://agentmods.dev/badge/commands/mohamed-benoughidene/openreview-cli/speckit.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/mohamed-benoughidene/openreview-cli/speckit.plan"><img src="https://agentmods.dev/badge/commands/mohamed-benoughidene/openreview-cli/speckit.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 | $0.00014 | $0.01616 |
| Opus 5 | $0.00007 | $0.00808 |
| Sonnet 5 | $0.00003 | $0.00323 |
| Haiku 4.5 | $0.00001 | $0.00162 |
Grade A, and why
speckit.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 9d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 9d ago First seen · 169 lines · 14 tokens per session scan A 77f876234b49
speckit.plan is a command published in the GitHub repository mohamed-benoughidene/openreview-cli (11 stars, last pushed 21d ago), licensed AGPL-3.0. It adds 14 tokens to every session and 1,616 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
agnix
Use when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP', or mentions 'agent config issues', 'skill validation'.
commit
A command that examines staged Git changes and proposes a commit message using the Conventional Commits format, such as feat, fix, or docs. Git is a tool for tracking changes to code.
ap-status
Check drift between expected and deployed Agentpack outputs.
ap-diff
Show Agentpack diff summary for this repo.
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.