PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.
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/mohitagw15856/pm-claude-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/rules/mohitagw15856/pm-claude-skills/aging-in-place-assessment)<a href="https://agentmods.dev/rules/mohitagw15856/pm-claude-skills/aging-in-place-assessment"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/aging-in-place-assessment/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/rules/mohitagw15856/pm-claude-skills/aging-in-place-assessment"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/aging-in-place-assessment.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 | $0.00140 | $0.01216 |
| Opus 5 | $0.00070 | $0.00608 |
| Sonnet 5 | $0.00028 | $0.00243 |
| Haiku 4.5 | $0.00014 | $0.00122 |
Grade A, and why
aging-in-place-assessment 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 8d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aging-in-Place Assessment
Most older people want to stay in their own home — and often can, with the right changes and support. But "they're fine" is sometimes denial, and "they can't cope" is sometimes overcaution. This gives a clear-eyed assessment: the home's actual hazards, the honest gaps in daily living and support, what could close them, and the warning signs that home genuinely isn't safe anymore — so the family decides with eyes open, and with the person's dignity front and center. Not medical advice.
What This Skill Produces
- A home safety read — the hazards room by room (fall risks like rugs/stairs/bathrooms, lighting, accessibility) and what to fix
- A daily-living gap check — honest look at how they're managing meals, hygiene, medications, mobility, finances, and getting around
- The support & modification options — what could make home work: home modifications, in-home help, meal/transport services, tech (alerts, monitoring), and family support
- Warning signs — the signals that home may no longer be safe (falls, missed meds, wandering, unmanaged bills, hygiene decline, isolation)
- How to raise it respectfully — approaching the conversation preserving the person's autonomy and dignity, not talking over them
- A boundary — this supports a family decision; medical/OT professionals should assess where health is involved
Required Inputs
Ask for these if not provided:
- The person — age, health, mobility, cognition, and what they want
- The home — layout (stairs, bathrooms), and known hazards
- How they're managing — daily living, meds, finances, social contact — honestly
- Support available — family nearby, budget for help/modifications
- The trigger — a fall, a scare, general worry, or planning ahead
Framework: Safety, Gaps, Support, Dignity
- Assess the home. Go room by room for hazards — falls are the biggest risk (loose rugs, poor lighting, bathroom/stairs) — and note accessibility issues and quick fixes.
- Check daily living honestly. How are they really doing with meals, hygiene, medications, mobility, money, and driving/transport — past both denial and overcaution.
- Match support to gaps. For each gap, the option that closes it: modifications (grab bars, ramps, lighting), in-home help, services (meals, transport), tech (alert systems), and family support.
- Watch the warning signs. Name the signals that home may no longer be safe — recurrent falls, missed medications, wandering, unpaid bills, hygiene or nutrition decline, dangerous cooking, isolation.
- Preserve dignity. Center the person's wishes and autonomy; involve them in the decision rather than deciding over them — and raise concerns respectfully.
- Bring in professionals. Where health, cognition, or safety are seriously in question, an occupational-therapy or medical assessment is the right next step.
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.
- 8d ago First seen · 71 lines · 140 tokens per session scan A 0167ceb3bd0a
aging-in-place-assessment is a cursor rule published in the GitHub repository mohitagw15856/pm-claude-skills (1,357 stars, last pushed today), licensed MIT. It adds 140 tokens to every session and 1,216 once invoked, about $0.0007 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 2026-09-03.
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