Borrowing it
Nothing to install: this file belongs to TalonT-Org/AutoSkillit. 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/TalonT-Org/AutoSkillit/main/.claude/skills/review-promotion/SKILL.mdgit clone --depth 1 https://github.com/TalonT-Org/AutoSkillitWrote 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/talont-org/autoskillit/review-promotion)<a href="https://agentmods.dev/skills/talont-org/autoskillit/review-promotion"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/review-promotion/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/talont-org/autoskillit/review-promotion"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/review-promotion.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 | $0.00052 | $0.02950 |
| Opus 5 | $0.00026 | $0.01475 |
| Sonnet 5 | $0.00010 | $0.00590 |
| Haiku 4.5 | $0.00005 | $0.00295 |
Grade A, and why
review-promotion 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 10d 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 — 406 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Promotion
Perform deep reviewer-facing analysis of an integration-to-main promotion. This skill partitions all changed files by domain, runs parallel domain risk analysis, assesses test coverage and breaking changes, synthesizes a reviewer verdict, and optionally posts the review report as a PR comment.
Arguments
/autoskillit:review-promotion [batch_branch] [base_branch] [--post-to-pr]
batch_branch(optional) — source branch to analyze. Defaults todevelop.base_branch(optional) — target branch. Defaults tomain.--post-to-pr— if present, post the review report as a comment on the open promotion PR.
When to Use
- Before approving a promotion PR
- When you need a structured risk assessment across all changed domains
- When you want an automated reviewer's guide with a go/no-go verdict
Critical Constraints
NEVER:
- Create files outside
.autoskillit/temp/review-promotion/ - Modify any source code — this skill is read-only analysis
- Use
gh pr comment --bodyinline — always use--body-file - Fail silently if
ghis unavailable when--post-to-pr— outputverdict = review_readyand exit 0
ALWAYS:
- Output
report_path = <absolute path>as a structured token (absolute path, prepend CWD) - Output
verdict = <value>as a structured token
Workflow
Phase 0: Setup
Step 0.1: Parse Arguments
Parse optional positional arguments and flags:
batch_branch— default"develop"if absent or emptybase_branch— default"main"if absent or emptypost_to_pr—trueif--post-to-prpresent in ARGUMENTS
Step 0.2: Compute Divergence Point
git merge-base {base_branch} {batch_branch}
git diff --name-only {base_branch}..{batch_branch}
git diff --name-only --diff-filter=A {base_branch}..{batch_branch}
git diff --name-only --diff-filter=M {base_branch}..{batch_branch}
Store as merge_base_sha, changed_files, new_files (added files), and
modified_files (modified files).
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.
- 10d ago First seen · 406 lines · 52 tokens per session scan A 4bc9946946fb
review-promotion is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 2,950 once invoked, about $0.0003 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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