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Extract manually supplied ChatGPT conversations into standalone, actionable Markdown.
Passed 20 of 23 test cases with the skill, and 7 of 23 without it.
and 12 more in the full report
13 fixed7 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
Before performing an extraction on material intended for AskJamie projects, which reference document must be consulted to apply brand routing and lens vocabulary?
| Checked | Without skill | With skill |
|---|---|---|
| Consults references/brand-overlay.md before extracting ChatGPT material. | Missed | Passed |
The instructions your model reads when the skill loads.
OverKill Hill P³ · overkillhill.com · github.com/OKHP3
Turn manually supplied ChatGPT material into an evidence-aware, durable Markdown extract. The human remains responsible for selecting and pasting the material; this standalone package makes it retrievable without requiring the original thread to be replayed.
Before extracting ChatGPT material, read references/brand-overlay.md. It adds AskJamie project routing, lens/helpdesk vocabulary, and walkthrough-preservation rules without changing the adapter’s provenance or privacy contract.
| In scope | Out of scope |
|---|---|
| Pasted ChatGPT conversations, Projects, and visible artifacts | Direct access to a ChatGPT account or thread |
| Conversation-level and reusable-value extraction | Claiming the paste is a complete, lossless transcript |
| Public-safe Markdown artifact creation | Committing credentials, private data, or raw source by default |
| Optional structured Notion handoff | Writing to Notion without a user-authorized connector |
source_platform: ChatGPT, the
capture mode (full-paste, turn-by-turn, export-excerpt, or unknown),
known source title/date/URL, and whether the material is complete, partial,
or uncertain. Never infer missing turns, attachments, citations, Project
instructions, or branch history.test cases passed, vs 7 / 23 without
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