Borrowing it
Nothing to install: this file belongs to SlideSpeak/slidespeak-onbrand. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SlideSpeak/slidespeak-onbrand/develop/.agents/skills/review-feedback/SKILL.mdgit clone --depth 1 https://github.com/SlideSpeak/slidespeak-onbrandWrote 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/slidespeak/slidespeak-onbrand/review-feedback)<a href="https://agentmods.dev/skills/slidespeak/slidespeak-onbrand/review-feedback"><img src="https://agentmods.dev/badge/skills/slidespeak/slidespeak-onbrand/review-feedback/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/slidespeak/slidespeak-onbrand/review-feedback"><img src="https://agentmods.dev/badge/skills/slidespeak/slidespeak-onbrand/review-feedback.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 | $0.00046 | $0.01181 |
| Opus 5 | $0.00023 | $0.00590 |
| Sonnet 5 | $0.00009 | $0.00236 |
| Haiku 4.5 | $0.00005 | $0.00118 |
Grade A, and why
review-feedback 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 11d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review PR Feedback
Go through all review comments on a pull request, research each one, and grill the user on what action to take.
1. Resolve the PR
- If
$ARGUMENTSis provided, use it as the PR URL or number. - Otherwise, detect the PR for the current branch:
gh pr view --json number,url,headRefName - If no PR is found, ask the user for a PR URL or number.
2. Fetch all feedback sources
Fetch both inline review comments and PR-body feedback. Some review agents (for example Greptile)
edit the PR description with findings that are not represented as inline review comments, often
under headings like Outside diff, Outside the diff, Additional findings, Potential issues,
or similar.
# Get PR metadata and body/description. gh pr view supports the `body` JSON field.
gh pr view {number-or-url} --json number,url,title,author,body,comments,reviews
# Get unresolved inline review conversations on changed lines.
# Use reviewThreads instead of /pulls/{number}/comments so resolved conversations can be ignored.
gh api graphql --paginate -f owner='{owner}' -f name='{repo}' -F number={number} -f query='
query($owner: String!, $name: String!, $number: Int!, $endCursor: String) {
repository(owner: $owner, name: $name) {
pullRequest(number: $number) {
reviewThreads(first: 100, after: $endCursor) {
pageInfo { hasNextPage endCursor }
nodes {
isResolved
isOutdated
path
line
startLine
diffSide
comments(first: 100) {
nodes {
id
url
body
author { login }
createdAt
outdated
}
}
}
}
}
}
}'
# Optional: get regular PR conversation comments too, in case agents post feedback there.
gh api repos/{owner}/{repo}/issues/{number}/comments --paginate
Ignore review threads where isResolved is true. For unresolved review threads, use the latest
substantive comment in the thread as the primary feedback item and keep earlier thread comments as
context. If isOutdated is true, keep the item but mark it as outdated, deprioritize it behind
fresh unresolved threads, and re-check the current file before presenting it because the diff
context may have shifted. Do not separately include raw /pulls/{number}/comments results unless
reviewThreads is unavailable; that REST endpoint includes comments from resolved conversations and
can cause already-resolved feedback to be reprocessed.
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.
- 11d ago First seen · 123 lines · 46 tokens per session scan A 8919533d032c
review-feedback is a skill published in the GitHub repository SlideSpeak/slidespeak-onbrand (7 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 1,181 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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