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/openplanr/planr-pipelineWrote 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/openplanr/planr-pipeline/dashboard)<a href="https://agentmods.dev/commands/openplanr/planr-pipeline/dashboard"><img src="https://agentmods.dev/badge/commands/openplanr/planr-pipeline/dashboard.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 | $0.00046 | $0.00908 |
| Opus 5 | $0.00023 | $0.00454 |
| Sonnet 5 | $0.00009 | $0.00182 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
dashboard 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 7d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/planr-pipeline:dashboard
Starts (or reuses) a persistent localhost HTTP server that serves the planr
dashboard for the current project. The server is independent of the agent
(hard rule 14): once DASHBOARD_URL: is printed the command STOPS — the server
keeps running in the background and the agent does not block on it. The dashboard
is read-only (no write-back to .planr/).
This command is additive and standalone. It NEVER runs the PO phase or the DEV phase, and it never auto-chains. It only resolves mode, negotiates a port, starts/reuses the server, prints the URL, and exits.
Flags
| Flag | Meaning | Default |
|---|---|---|
--port N |
Bind to TCP port N on 127.0.0.1. |
env DASHBOARD_PORT, else 7473 |
--open |
After printing the URL, open it in the default browser. | off |
--no-watch |
Do not start the .planr/ file watcher (serve a static snapshot). |
watcher on |
--view graph|board|list |
Append ?view=<value> to the printed URL so it opens on that view. |
server default |
Unknown flags are a fatal error (see procedures/fatal-error-format.md).
Port resolution
--port N > env DASHBOARD_PORT > default 7473. Resolution lives in
procedures/dashboard-preflight.md.
Step sequence (mandatory order)
- Preflight — run
procedures/dashboard-preflight.md. It:- validates the working directory (a
.planr/directory must exist), - resolves mode via
procedures/mode-detection.md(spec-driven vs default — both are first-class; the dashboard reads whichever is present), - resolves the port (flag >
DASHBOARD_PORT>7473), - performs reuse-if-running detection: if
<planrHome>/dashboard-daemon/<port>names a live process ANDGET http://127.0.0.1:<port>/healthanswers{ ok: true }, reuse that server (do not start a second one), - otherwise starts
lib/dashboard/server.mjs(honouring--no-watch).
- validates the working directory (a
- Start / reuse server — bind
lib/dashboard/server.mjson the resolved port (or confirm the reused one). The server registersGET /api/graph,GET /api/node/:id,GET /api/events(SSE), and static serving fromlib/dashboard/app/. - Print the URL — emit exactly one line:
WhenDASHBOARD_URL: http://localhost:<port>/--viewis supplied, append?view=<value>to that URL. - (optional) Open — if
--open, open the printed URL in the default browser. - STOP. The command is complete the moment
DASHBOARD_URL:is printed. Do not block, do not tail logs, do not run any further phase. The server keeps serving in the background until the operator stops it.
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.
- 7d ago First seen · 76 lines · 46 tokens per session scan A 577595ac30d5
dashboard is a command published in the GitHub repository openplanr/planr-pipeline (2 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 908 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
iteration-drive
Drive the active iteration to completion — Phase 2 Autonomous Execute, Phase 3 iteration-close, Phase 4 Create PR, Phase 5 PR merge-ready loop (prefer babysit/-babysit; optional greploop when repo has it; else CI fallback) until mergeable. Not Done until Phase 5 exit checklist passes.
project-sprint
Execute project-sprint through Core-owned bounded WorkUnits.
octo-schedule
Manage scheduled workflow jobs for the Claude Octopus scheduler.
octo-scheduler
Manage the Claude Octopus scheduled workflow runner daemon.
discover
Run a full product discovery cycle — from outcome definition through opportunity mapping, prioritisation, and experiment design. Use when the team isn't sure what to build next, or before writing a PRD for a complex feature space.
iteration-loop
Autonomous full iteration loop for cloud agents — Phase 1 (code-first auto direction lock + compass/plans + Review & Edit chain) through Phase 2–5 (execute → close → PR → merge-ready). Optional args: direction, scale (S|M|L|XL, default M). Not Done until Phase 5 exit checklist passes. Minimal human intervention; no…