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.
npx skills add mohitagw15856/pm-claude-skills --skill competitive-intelligence-monitorgit 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/skills/mohitagw15856/pm-claude-skills/competitive-intelligence-monitor)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/competitive-intelligence-monitor"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/competitive-intelligence-monitor/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/mohitagw15856/pm-claude-skills/competitive-intelligence-monitor"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/competitive-intelligence-monitor.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 | $0.00093 | $0.00885 |
| Opus 5.5 | $0.00037 | $0.00354 |
| Sonnet 5.5 | $0.00019 | $0.00177 |
| Haiku 4.5 | $0.00009 | $0.00089 |
Grade A, and why
competitive-intelligence-monitor 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Intelligence Monitor Skill
Turn scattered competitor updates into structured weekly intelligence — not just "what they did" but "what changed since last week and what it means for us."
Required Inputs
Work from what is given. If any of these is missing, still produce the complete output: fill each gap with a reasonable assumption marked (assumed, confirm) and list those assumptions at the end. Ask a question first only when the core subject itself is missing (there is nothing to write about).
- Competitors to monitor (list of company names)
- Your current roadmap or strategic priorities (to assess relevance of signals)
- Previous brief or last run summary (for diff mode — what's new vs. last time)
- Time period (this week, this month)
Signal Categories to Monitor
- Product signals: New features, removals, UX changes, beta programmes
- Pricing signals: Changes to tiers, free limits, enterprise terms
- Hiring signals: Job postings revealing strategic bets
- Partnership signals: Integrations, acquisitions, ecosystem moves
- Messaging signals: Changes in positioning, audience, value proposition
Process
First Run (Full Report)
- For each competitor provided, scan all five signal categories
- Categorise each signal found
- Assess: reactive (responding to market) or proactive (setting direction)?
- Rate threat level: High / Medium / Low / Watch
- Connect each signal to a specific item on the provided roadmap
- Recommend response: Accelerate / Deprioritise / Monitor / Investigate
- Validate — Every High signal must have a specific recommended action and owner. "Monitor" is only acceptable for Low and Watch ratings.
Subsequent Runs (Diff Only)
- Compare current signals against previous run summary
- Output ONLY what is new or changed since last run
- Flag if a previously Low signal has escalated to High
- Keep output under 300 words — brevity is the point
Output Structure
Competitive Intelligence Brief — [Date]
New Since Last Run: [n signals]
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 · 80 lines · 93 tokens per session scan A 1eb646f795cb
competitive-intelligence-monitor is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 93 tokens to every session and 885 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-12.
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