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 deepfake-drillgit 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/deepfake-drill)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/deepfake-drill"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/deepfake-drill/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/deepfake-drill"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/deepfake-drill.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 | $0.00036 | $0.00225 |
| Opus 5.5 | $0.00014 | $0.00090 |
| Sonnet 5.5 | $0.00007 | $0.00045 |
| Haiku 4.5 | $0.00004 | $0.00022 |
Grade C, and why
deepfake-drill scanned grade C with 1 finding 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 5d 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
Deliver the full artifact even from a thin brief — infer and label assumptions, never refuse for missing context. <!-- TODO: tailor --> What it actually says
Deepfake Drill Skill
One-line summary of the value this skill delivers.
Working from a brief
Deliver the full artifact even from a thin brief — infer and label assumptions, never refuse for missing context.
Required Inputs
Ask for (if not already provided), else infer and label:
Output Format
Quality Checks
Anti-Patterns
- Do not
Example Trigger Phrases
- "Train the team on deepfake fraud."
- "Test wire-transfer controls."
- "Run a social-engineering tabletop."
- "Could we get CEO-frauded?"
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.
- 5d ago First seen · 37 lines · 36 tokens per session scan C d932c6f054a2
deepfake-drill is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,466 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 225 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-12.
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