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 skills/hunterg325/claude-code-pm/pm-statusnpx skills add hunterg325/claude-code-pm --skill pm-statusgit clone --depth 1 https://github.com/hunterg325/claude-code-pmWrote 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/hunterg325/claude-code-pm/pm-status)<a href="https://agentmods.dev/skills/hunterg325/claude-code-pm/pm-status"><img src="https://agentmods.dev/badge/skills/hunterg325/claude-code-pm/pm-status.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 | $0.00043 | $0.00328 |
| Opus 5 | $0.00022 | $0.00164 |
| Sonnet 5 | $0.00009 | $0.00066 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
pm-status 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 4d 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
/pm:status — Show PM Status
Read .claude/pm-state.json and reconcile with live list_peers data. Display:
Output Format
Active Workers
| Task | Worker | Branch | Status | Duration |
|---|---|---|---|---|
| For each entry in active_workers, show task_id, peer_id, branch, status, and time since spawned_at. |
Verification Officers
| Task | VO | Status | PR | Review Loops |
|---|---|---|---|---|
| For each entry in vo_agents, show task_id, vo_peer_id, status, pr_url, review_loop_count. |
Queued Tasks
Numbered list of queued_tasks with task_id, title, priority.
Recently Completed
Last 5 entries from completed_tasks with task_id, pr_url, completed_at.
Escalations
Any unresolved escalations with task_id, type, message, timestamp.
Health
- PM peer ID and uptime
- Workers: {active}/{max_concurrent} slots used
- Broker: connected/disconnected (based on list_peers success)
If pm-state.json doesn't exist, report "PM is not running. Use /pm:start to launch."
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.
- 4d ago First seen · 40 lines · 43 tokens per session scan A 0e590feb396e
pm-status is a skill published in the GitHub repository hunterg325/claude-code-pm (2 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 328 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 skills, from other repositories
evolve
Research-driven multi-cycle improvement director. Forms causal hypotheses about why scores are low, validates them with scout agents before attacking, dispatches axis-parallel fleet attacks, extracts transferable patterns, and runs indefinitely within a budget envelope. Accumulates a persistent belief model and…
improve
Autonomous quality improvement loop. Scores a target against a rubric, selects the highest-leverage axis, attacks it, verifies, documents, and loops. No pre-planning between iterations — each loop re-scores from scratch.
ascii-diagram
Generate perfectly aligned ASCII diagrams — architecture, flow, sequence, box-and-arrow. Uses a programmatic character-grid approach so alignment is guaranteed by math, not token prediction. Includes post-render verification.
research
Focused research investigations. Converts questions into structured findings with confidence levels and source citations. Single agent by default; with --parallel (or when the question decomposes into 3+ independent angles) it spawns scout agents whose findings are compressed into a unified brief. Does not make…
watch
File sentinel that monitors the working directory for changes and marker comments, then auto-triggers appropriate skills. Poll-based via git diff against the last scan commit. Writes intake items for batch processing and routes marker actions through /do. Use for automatic reactions to file changes; do NOT use for…
pr-watch
Local PR watcher. Monitors CI status, automatically fixes failing checks by reading failure logs and applying targeted fixes, then optionally merges when all checks pass. Local CLI analog to Claude Code's cloud auto-fix feature.