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/unixcrh/phuryn-pm-skillsWrote 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/unixcrh/phuryn-pm-skills/plan-okrs)<a href="https://agentmods.dev/commands/unixcrh/phuryn-pm-skills/plan-okrs"><img src="https://agentmods.dev/badge/commands/unixcrh/phuryn-pm-skills/plan-okrs/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/unixcrh/phuryn-pm-skills/plan-okrs"><img src="https://agentmods.dev/badge/commands/unixcrh/phuryn-pm-skills/plan-okrs.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 | $0.00017 | $0.00870 |
| Opus 5 | $0.00009 | $0.00435 |
| Sonnet 5 | $0.00003 | $0.00174 |
| Haiku 4.5 | $0.00002 | $0.00087 |
Grade A, and why
plan-okrs 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 11d 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.
This is a copy
100% identical to plan-okrs — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/plan-okrs -- Team OKR Planning
Generate well-structured OKRs that connect team work to company strategy. Produces 3 OKR sets with qualitative objectives and quantitative key results.
Invocation
/plan-okrs Growth team Q2 — company goal is 50% ARR increase
/plan-okrs Onboarding squad aligned to "improve activation rate"
/plan-okrs [upload company OKRs or strategy doc]
Workflow
Step 1: Gather Context
Ask the user:
- What team or product area are these OKRs for?
- What time period? (quarterly is standard, but could be annual or custom)
- What are the company-level objectives these should ladder up to?
- What happened last quarter? (hits, misses, learnings)
- Any constraints or known priorities?
Accept company OKRs or strategy documents as uploads.
Step 2: Generate OKRs
Apply the brainstorm-okrs skill:
- Create 3 OKR sets (Objective + 3-5 Key Results each)
- Objectives: Qualitative, inspiring, ambitious but achievable, action-oriented
- Key Results: Quantitative, measurable, time-bound, have clear owners
- Ensure OKRs ladder to company objectives with visible connection
- Balance leading indicators (activity) with lagging indicators (outcomes)
Step 3: Validate Quality
Check each OKR against best practices:
- Is the Objective inspiring? (Would you rally a team around it?)
- Are Key Results measurable? (Can you check completion with data, not judgment?)
- Are targets ambitious but not demoralizing? (70% achievement = well-calibrated)
- Are there 3-5 KRs per Objective? (More = unfocused)
- Do KRs avoid gaming? (e.g., "ship 5 features" incentivizes shipping junk)
Flag any issues and suggest improvements.
Step 4: Present and Iterate
## Team OKRs: [Team Name] — [Period]
**Aligned to**: [Company Objective(s)]
### Objective 1: [Inspiring qualitative statement]
| # | Key Result | Baseline | Target | Owner |
|---|-----------|----------|--------|-------|
| KR1 | [measurable result] | [current] | [target] | [team/person] |
| KR2 | ... | ... | ... | ... |
| KR3 | ... | ... | ... | ... |
### Objective 2: [Inspiring qualitative statement]
[same format]
### Objective 3: [Inspiring qualitative statement]
[same format]
### Alignment Map
Company Objective → Team Objective → Key Results → Expected Impact
### Scoring Guide
- 0.0-0.3: Significant miss — investigate and learn
- 0.4-0.6: Progress made but fell short
- 0.7-0.9: Well-calibrated stretch goal — this is the target zone
- 1.0: Either nailed it or target wasn't ambitious enough
### Check-in Cadence
- **Weekly**: Quick traffic-light update on each KR
- **Mid-quarter**: Deep review, adjust targets if context changed
- **End of quarter**: Score, reflect, feed into next quarter
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.
- 11d ago First seen · 99 lines · 17 tokens per session scan A 64fa936f4d2c
plan-okrs is a command published in the GitHub repository unixcrh/phuryn-pm-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 870 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to plan-okrs, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
template
Manage issue templates for streamlined issue creation.
sync-linear
Sync current work with Linear ticket status.
add-note
Add an internal or external note to a ConnectWise PSA ticket.
fest-show
Show festival progression (in-progress tasks, roadmap, and dependency view).
dispatcher
Pick the next-best repo to work on across the portfolio — rank free repos, recommend one, claim its lease atomically, and route to the entry command.
workpm
A project-management workflow for coordinating multiple AI workers through five stages. It includes task assignment, shared activity logs, worker replacement, and final checks.