reply-to-pr-conversation-f7b5c5 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited reply-to-pr-conversation-f7b5c5 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Draft a single reply that addresses a processed issue-comment list, confirm with the user, and post it as a new PR issue comment.
/github-voice SkillRun the /github-voice skill to load voice rules and the insider-vs-outsider detection.
Use the processed-item list from conversation context. Each entry has: id, author, original comment body (to quote from selectively), category (fix, skip, answer, or clarify), and per-category payload.
Draft one reply that addresses every item as natural conversational prose. The output is a single piece of prose with flexible length and no rigid section structure.
Use the category to interpret each payload:
<sha>" where it fits the flow, plus a brief note when the fix diverges from what the commenter suggested.Quote selectively. Use > blockquotes only for the phrase being responded to. A single-topic reply quotes one sentence then responds; a multi-topic reply weaves quotes and responses together. Drop quotes entirely when @mentions plus context make the reply unambiguous.
Quote handling:
> from quoted lines so nested blockquotes don't misattribute.> [code snippet].[bot], omit the suffix from the @ mention.Apply /github-voice rules. Match the conversation's length and tone. An acknowledgment with emoji is fine when the discussion calls for it; a multi-paragraph response is fine when the items warrant it.
Output the drafted reply as text for review:
**Draft comment**
<full comment body as it will be posted>Then use AskUserQuestion to ask whether to post. Offer:
Auto-detect owner, repo, and PR number from the current branch if not provided. Write the drafted body to .turbo/pr/<pr_number>-comment.md with the Write tool, then post via the issue-comments REST endpoint:
gh api -X POST \
"/repos/<owner>/<repo>/issues/<pr_number>/comments" \
-F [email protected]/pr/<pr_number>-comment.mdReport the posted comment's URL.
Then use the TaskList tool and proceed to any remaining task.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.