make-content-two-pass-edit
GitHub对已有草稿进行多轮编辑,包括内容实质审查、事实与品牌声明核查、可读性与语气匹配及AI痕迹检测,并输出包含开放问题的编辑笔记。
触发场景
安装
npx skills add gooseworks-ai/goose-skills --skill make-content-two-pass-edit -g -y
SKILL.md
Frontmatter
{
"name": "make-content-two-pass-edit",
"version": "0.1.2",
"description": "Edits an existing draft in order: a substance pass (arguable thesis, swap test, fakes removed, CTA fit), a claims and fact check that cuts or softens unproven lines, a readability and voice-match pass, then an AI-tell sweep, with an edit note listing open gaps. Use alone when you already have a finished draft and the brand's voice samples and approved claims; otherwise run make-content."
}
Edit, check, edit
Run on every fresh draft, refresh redline and repurposed set. The full checklists are in ../make-content/references/editing.md.
-
Substance pass. Write four answers into the edit note:
- the thesis in one arguable sentence;
- the swap test (pass, or what fails);
- the fakes removed;
- whether the CTA matches the intent.
Run the rest of Pass 1 (so-what, proof density, skeptic, order, hedging) as checks. Fix what fails without writing it up.
-
Claims check: the shared claims gate (the
claims-gateskill,../claims-gate/SKILL.md) for brand claims, plus../make-content/references/fact-rules.mdfor world facts, competitor facts, stories, sensitive topics and third-party rights. When the piece is sponsored, affiliate, gifted or a creator collaboration, also load../ad-policy-check/disclosure.md(in thead-policy-checkskill) and apply it (disclosure in the piece itself, before "more"). It cuts and softens lines, which leaves gaps. -
Readability pass on the post-cut text: smooth the gaps, headline, lede, H2s as claims, scannability, ending. Then voice match against the best voice sample available, in this order:
- the named author's voice card (bylined pieces);
- the saved company blog guide
brand/voices/blog-<brand-slug>.mdfor company blog/article work (apply its rules and bans; keep any provisional status); - the kit’s voice example lines;
- the brand's own post captions (
brand_read organic); - "From the site" lines in product notes;
- three lines the human pastes on request.
If none exist, write "voice unmatched: no real samples" in the note and keep the copy plain rather than guessing at personality.
-
AI-tell check (mechanical) on the final text. Anything the brand's real writing uses stays; with no real samples, everything on the list goes.
Edit note (attached to the piece)
Edit note — <title>
Thesis: … · Swap test: pass | fails because … → fixed by … | still fails (see top) · Fakes removed: … · CTA fits intent: yes/no
Voice matched against: <source> | voice unmatched
AI-tells removed: <list with counts>
Open gaps: [PROOF NEEDED …] [STORY NEEDED …] [FOUNDER: …] [CUSTOMER APPROVAL NEEDED …]
If the swap test still fails after the substance pass (no brand-specific proof or POV exists), the piece can still be delivered, but the first line must say "Generic: no brand-specific proof or POV available. This would fix it: …". Never hide it. If most of the piece would be gaps, the proof gate in SKILL.md step 4 applies: stop at the brief.
版本历史
- 1add09b 当前 2026-11-02 21:50


