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 commands/getappz/agentflare/pmgit clone --depth 1 https://github.com/getappz/agentflareWhat 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 | $0.00035 | $0.00719 |
| Opus 5 | $0.00017 | $0.00360 |
| Sonnet 5 | $0.00007 | $0.00144 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
pm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parse "$ARGUMENTS": the first word (if any) is the subcommand; everything after it is that subcommand's arguments.
Bare /pm (no arguments) — start the PM day
- Load the
pmskill (covers both reporting and PM mode) and enter PM mode — Part 2 of the skill: create and dispatch work instead of implementing it yourself — until/pm mode off. - Run the daily kickoff, in this order:
a. Standup —
/pm:standupworkflow (last 24h): what shipped, what's in flight per assignee, what's stuck. b. Intake triage —/pm:groomworkflow's flag lists only: new/unassigned items, blocked items, likely duplicates, unestimated items. c. Blockers first — for each stuck or blocked item, say what unblocks it and who should act. d. Pull next — the groompull_nextshortlist, cross-checked against priorities. - Close with a morning briefing: ≤10 lines — Done / In flight / Stuck / Recommended dispatches — then propose the concrete dispatch actions PM mode allows (assignments, handoffs, item creation) and wait for approval before executing any of them.
Subcommands (targeted, read-only reports — no PM mode change)
- standup
[cutoff-hours]—pmskill/pm:standup; cutoff default 24. - groom
[staleness-days] [rice|wsjf|value-effort]—/pm:groom; staleness default 14, framework defaultrice. - plan
[~capacity] [rice|wsjf|value-effort]—/pm:plan; capacity hint like~8caps the Now bucket. - health
[window-weeks]—/pm:health; window default 4. - portfolio
[standup|health] [args]—/pm:portfolio: the chosen report (defaulthealth) rolled up across every project in the workspace. - mode on — enable PM mode (Part 2 of the
pmskill) without the daily kickoff. - mode off — leave PM mode: stop following Part 2, return to normal implementation behavior, confirm in one line.
Typing the literal /pm, /pm mode on, or /pm mode off also sets/clears a
session-scoped flag in agentflare's own hook — the running session gets a "PM
MODE ACTIVE" reminder on every subsequent turn until /pm mode off, so the
mode holds even across context compaction, not just while the model happens
to remember 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.
- 2d ago First seen · 52 lines · 0 tokens per session scan A b7f3e3f3102b
pm is a command published in the GitHub repository getappz/agentflare (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 35 tokens to every session and 719 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
ai-branch
AI 解读分支（L0 回退） — 演示无 keywordAliases 时由 AI Agent 解读自然语言触发分支.
buzz-crawling
外部舆情策略更新全流程 — /buzz-crawling run 启动外部舆情策略更新全流程.
cct-sop-alert
营销智评分流（告警测试） — 测试钉钉告警通知的分流工作流，botId带test前缀会触发失败.
kf-direct-support
TeamClaw 直接技能支持 — 直接调用 teamclaw-support 技能处理用户问题，跳过多阶段编排.
riskreview
The user invoked the /riskreview facade command from the risk-review-pipeline pack.
twining:export
Export Twining state as markdown for context handoff or archival.