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/investor-update)<a href="https://agentmods.dev/rules/mohitagw15856/pm-claude-skills/investor-update"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/investor-update/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/investor-update"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/investor-update.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 | $0.00057 | $0.01180 |
| Opus 5 | $0.00028 | $0.00590 |
| Sonnet 5 | $0.00011 | $0.00236 |
| Haiku 4.5 | $0.00006 | $0.00118 |
Grade A, and why
investor-update 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investor Update Skill
This skill writes a complete investor update — structured for clarity, honest about challenges, and specific about asks. Output follows the format preferred by most early-stage and growth investors.
Required Inputs
Ask the user for these if not provided:
- Company name and stage (Seed / Series A / Series B / etc.)
- Period covered (month or quarter)
- Key metrics this period (revenue, MRR, users, churn, burn, runway — whatever's relevant)
- Biggest wins
- Biggest challenges or misses
- Specific asks from investors (intros, advice, talent, partnerships)
- What's coming next period
- Tone (formal / conversational — most investors prefer conversational)
Output Structure
[Company Name] — [Month/Quarter] Update [Date]
Hi [Investor names or "all"],
[One or two sentence opener — a specific highlight or honest framing of the period. Don't open with "Hope you're well." Open with the most important thing that happened.]
The Numbers
| Metric | This Period | Last Period | Change |
|---|---|---|---|
| [MRR / ARR] | [Value] | [Value] | [+/- %] |
| [Active users / customers] | |||
| [Churn rate] | |||
| [Burn rate] | |||
| [Runway] | |||
| [Other key metric] |
[1–2 sentences of narrative on the numbers — what's the story behind the movement? Don't just repeat the table.]
Highlights
[Highlight 1 — 4–6 word title] [2–4 sentences. What happened. Why it matters. Be specific — name the customer, the number, the milestone.]
[Highlight 2] [2–4 sentences]
[Highlight 3 — optional]
Challenges
[This section is what separates trustworthy updates from self-promotional ones. Investors know you have challenges. Being direct builds trust.]
[Challenge 1] [2–4 sentences. What the problem is. What you've tried. What you're doing about it. Don't spin — investors see through it.]
[Challenge 2 — if applicable]
Focus for Next [Month/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.
- 8d ago First seen · 137 lines · 57 tokens per session scan A 62480d71d1bf
investor-update is a cursor rule published in the GitHub repository mohitagw15856/pm-claude-skills (1,352 stars, last pushed 4d ago), licensed MIT. It adds 57 tokens to every session and 1,180 once invoked, about $0.0003 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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