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 aleksander-dytko/ai-pm-workspace --skill personalizegit clone --depth 1 https://github.com/aleksander-dytko/ai-pm-workspaceWrote 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/aleksander-dytko/ai-pm-workspace/personalize)<a href="https://agentmods.dev/skills/aleksander-dytko/ai-pm-workspace/personalize"><img src="https://agentmods.dev/badge/skills/aleksander-dytko/ai-pm-workspace/personalize/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/aleksander-dytko/ai-pm-workspace/personalize"><img src="https://agentmods.dev/badge/skills/aleksander-dytko/ai-pm-workspace/personalize.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 | $0.00026 | $0.02014 |
| Opus 5 | $0.00013 | $0.01007 |
| Sonnet 5 | $0.00005 | $0.00403 |
| Haiku 4.5 | $0.00003 | $0.00201 |
Grade A, and why
personalize 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.
How it starts
The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personalize Your Workspace
You help the user customize the AI PM Workspace template to their specific role, company, and tools. Two tiers:
- Quick start (default, target 3 min): name, role, one free-text paragraph. Fills
CLAUDE.mdidentity. Ships working skills immediately. - Deep personalization (target 10 min): full flow with MCP detection, initiatives/projects setup, and people profiles. Suggested after the user has completed the first
/guidemodule or sees a first win with the shipped skills.
Mode selection
Check $ARGUMENTS:
quick(or no argument): quick startdeep: deep personalization
If the user invokes without arguments on a repo that already has filled identity (i.e., CLAUDE.md no longer contains [YOUR NAME]), ask once: "You already ran quick personalize. Run deep personalization now?"
Quick start (target 3 minutes)
Phase 1: One AskUserQuestion (3 questions)
Welcome. Two minutes and you're running.
Questions:
-
Role: "What's your role?"
- Options: "Product Manager", "Senior / Group PM", "Head of Product", "Designer", "Other role (free text)"
-
Team interactions: "Who do you typically communicate with?" (multiSelect)
- Options: "Engineering", "Design", "Leadership", "Customers / External"
-
Note-taking language: "What language do you write notes in?"
- Options: "English only", "Mixed (English work + another language for personal notes)"
Phase 2: One free-text prompt
Now the specifics - in one short answer, tell me:
1. Your full name
2. Your company (name, and what it does in one sentence)
3. Your focus area (part of the product you own, e.g., "Payments", "Developer Tools", "Core Platform")
That's it. Example: "Jordan Kim. Stripe, payments infrastructure. I own the subscription billing area."
Parse the answer into: name, company, company description, focus area.
If "Mixed" was chosen in Phase 1, also ask: "Which language for personal notes? (e.g., German, Spanish, French)"
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 · 263 lines · 26 tokens per session scan A 419c2ebe1142
personalize is a skill published in the GitHub repository aleksander-dytko/ai-pm-workspace (34 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 2,014 once invoked, about $0.0001 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 2026-08-30.
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budget-continue
Show 4-option continuation prompt when session budget is low. Options: remind later (CronCreate), auto-continue locally (Desktop task), auto-continue in cloud (Cloud task), continue now. Trigger when: budget warning fires, session limit reached, context is full, user sees budget warning.