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 skills add bjornjee/agent-dashboard --skill featuregit clone --depth 1 https://github.com/bjornjee/agent-dashboardWrote 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/skills/bjornjee/agent-dashboard/feature)<a href="https://agentmods.dev/skills/bjornjee/agent-dashboard/feature"><img src="https://agentmods.dev/badge/skills/bjornjee/agent-dashboard/feature/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/skills/bjornjee/agent-dashboard/feature"><img src="https://agentmods.dev/badge/skills/bjornjee/agent-dashboard/feature.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 | $0.00015 | $0.03575 |
| Opus 5.5 | $0.00006 | $0.01430 |
| Sonnet 5.5 | $0.00003 | $0.00715 |
| Haiku 4.5 | $0.00002 | $0.00358 |
Grade A, and why
feature 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.
How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start a new feature in an isolated git worktree.
Feature description: $ARGUMENTS
Instructions
Follow these phases in order. Each phase has a gate — do not proceed until the gate is satisfied.
If the feature touches browser UI, Playwright, dev-server ports, screenshots, or interactive Browser/Chrome inspection, apply ../_shared/ui-automation.md at planning, environment setup, verification, delegation, and cleanup points.
For Verification profiles, apply ../_shared/verification-profiles.md. Active AGENTS.md/core rules may add doctrine, but this shared glossary is the standalone agent-dashboard fallback.
Phase 1: Setup
Follow ../_shared/worktree-setup.md with branch prefix feat.
Gate: Working directory is the new worktree on the correct branch, based on latest main. If .env* files existed in the source repo, they are all present in the worktree.
Phase 2: Plan
Start two tracks in parallel:
Background — Environment setup: First check for a reusable environment: if .env-setup-done exists in the worktree root AND every dependency manifest/lockfile present (package-lock.json, pnpm-lock.yaml, yarn.lock, requirements.txt, pyproject.toml, uv.lock, go.mod, go.sum) is older than the sentinel ([ "$f" -ot .env-setup-done ]), skip the launch and note the reuse — the setup from a prior run in this worktree is current. Otherwise, launch a background agent (run_in_background: true) to set up the dev environment per ../_shared/env-setup.md.
Foreground — Planning:
Phase order: research first, interview second, plan mode third, submit fourth. Plan mode is the last gate before approval, not a pre-research speed-bump. Each step has a HARD-GATE you cannot rationalize past.
- Research with
Explore. Use the built-inExploresubagent for any non-trivial codebase question or library lookup. Do not callAgentwithsubagent_type=Plan— composing the plan is your job, not a delegated subagent's. Synthesize what you found inline as your own assistant text.
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 · 225 lines · 15 tokens per session scan A 7458ac929faf
feature is a skill published in the GitHub repository bjornjee/agent-dashboard (26 stars, last pushed 3mo ago), licensed MIT. It adds 15 tokens to every session and 3,575 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
gh-find-prs
Survey open Codewhale PRs and triage each for mergeability and disposition against the real landing branch.
contributor-onboarding
Help a new contributor get productive on this checkout - inspect sync state against main, build, run the repository's exact verification gate, and produce a local what's-new digest. Never fetches, pulls, or modifies a dirty tree on its own. Explicit-only.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
gh-close-issues
Close resolved Codewhale issues only after verifying the landed commit/behavior, with a positive crediting comment; never from title alone.
gh-credit-harvest
Harvest one community PR into a release branch with authorship and credit preserved, verified green, and a warm thank-you.
gh-assign-issues
Use to assign GitHub issues to a milestone and/or owners in bulk, verifying each.