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.
git clone --depth 1 https://github.com/baodq97/open-pluginWrote 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/baodq97/open-plugin/approve)<a href="https://agentmods.dev/commands/baodq97/open-plugin/approve"><img src="https://agentmods.dev/badge/commands/baodq97/open-plugin/approve/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/baodq97/open-plugin/approve"><img src="https://agentmods.dev/badge/commands/baodq97/open-plugin/approve.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 | $0.00010 | $0.00256 |
| Opus 5.5 | $0.00004 | $0.00102 |
| Sonnet 5.5 | $0.00002 | $0.00051 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
approve 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.
What it actually says
Approve the current Design Thinking phase.
Instructions
- Read
.design-thinking/state.yamlto get the active workspace - Read
{workspace}/state.yamlto get the current phase and status - If phase status is not
review_pending, report error: "Phase is not ready for approval (current status: {status})" - Update state:
phases.{phase}.status: approved- Add history entry with timestamp
- Advance state:
current_phase: {next_phase}phase_step: engage(orsynthesizefor PRD phase)phases.{next_phase}.status: engaging(orsynthesizingfor PRD phase)
- Report: "Phase {phase} approved. Moving to {next_phase}."
- If the approved phase was
prd, report: "All phases complete! Your PRD is at{workspace}/prd.md. Use/design-thinking:handoffto prepare for vbounce."
Phase order: empathize → define → ideate → prototype → prd
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 · 24 lines · 10 tokens per session scan A 4177d3c75d2d
approve is a command published in the GitHub repository baodq97/open-plugin (4 stars, last pushed 4mo ago), licensed MIT. It adds 10 tokens to every session and 256 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
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brand-new
Create a new visual brand profile via guided Q&A, optionally bootstrapping colors and fonts from an existing website, logo, or brand-guidelines PDF.
design
Create a design direction and styleguide for a project — produces aesthetic direction, fonts, colors, imagery, and media prompts.
plan-okrs
Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results.
write-stories
Break a feature into backlog items — user stories, job stories, or WWA format with acceptance criteria.