Tracely is a CI/CD system for AI agents that turns failed production traces into replayable regression tests. Development teams use it to detect and group agent failures, run the resulting cases on pull requests, and block changes that reproduce those failures. The catalogue entries provide skills for operating this trace-based testing and observability workflow.
Borrowing it
Nothing to install: this file belongs to Jwuthri/Tracely-ai. 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/Jwuthri/Tracely-ai/master/.claude/skills/merge-ready/SKILL.mdgit clone --depth 1 https://github.com/Jwuthri/Tracely-aiWrote 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/jwuthri/tracely-ai/merge-ready)<a href="https://agentmods.dev/skills/jwuthri/tracely-ai/merge-ready"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/merge-ready/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/jwuthri/tracely-ai/merge-ready"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/merge-ready.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 | $0.00093 | $0.01309 |
| Opus 5 | $0.00046 | $0.00655 |
| Sonnet 5 | $0.00019 | $0.00262 |
| Haiku 4.5 | $0.00009 | $0.00131 |
Grade A, and why
merge-ready 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.
This is a copy
100% identical to merge-ready — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Merge ready
Drive the current work to the point where the only remaining step is the maintainer's own review and merge. The deliverable is a pushed branch with a clean pnpm ci:check, checkpoint commits along the way, and an open PR with a high-level description plus review instructions.
Never merge the PR. The maintainer always reviews last.
0. Figure out the starting point
This skill composes with feature work — it is not only a review pass:
- Invoked alongside a build request ("build X, make it merge-ready"): implement the feature/fix first, committing as you go, then continue below. The review phases cover all changes on the branch vs
origin/main, not just the last edit. - Invoked on existing work ("make this branch merge-ready"): start directly at step 1. The scope is
git diff origin/main...HEADplus anything uncommitted.
1. Sync with main
git fetch origin main. If the branch is behind, mergeorigin/mainin and resolve conflicts (favor main's version for code this branch didn't intentionally change).- Checkpoint: commit the merge before starting review, so conflict resolution is auditable separately from review fixes.
2. Multi-axis subagent review
Spawn independent review subagents in parallel, one per axis, each given repo access and the complete branch scope:
- committed changes:
git diff origin/main...HEAD - staged changes:
git diff --cached - unstaged changes:
git diff - untracked files:
git status --short, followed by reading every in-scope untracked file
Do not let an uncommitted or newly created file escape review merely because it is absent from origin/main...HEAD.
- Unnecessary complexity — thin wrappers, needless indirection, single-use abstractions, defensive guards for impossible states, dead config. This codebase deliberately stays simple.
- Security — authz on new endpoints (org/project scoping), SSRF, injection, secrets handling, anything user-input-shaped reaching D1/R2/external APIs.
- Billing & metering — ways a user could trigger DataForSEO/provider spend without being metered, charged-but-failed paths, retry/loop amplification, endpoints with unexpectedly high per-call user cost. Credits are billed via Autumn; uncounted spend is a revenue leak.
- Library & project idioms — TanStack (Router/Query/Start) used idiomatically; patterns match how the rest of the codebase already does it (shared application/provider error boundaries, db/schema conventions, existing component patterns). Flag novel patterns where an established one exists.
- Vibe-coded cruft — leftover scaffolding, stale comments narrating the edit history, console.logs, TODO-without-owner, copy-pasted near-duplicates, files/exports nothing uses.
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 · 72 lines · 93 tokens per session scan A d1749f91b99f
merge-ready is a skill published in the GitHub repository Jwuthri/Tracely-ai (1,221 stars, last pushed today), licensed MIT. It adds 93 tokens to every session and 1,309 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to merge-ready, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
robin
Use whenever an agent creates, updates, reviews, or completes a GitHub pull request. Detect whether Robin is installed in the repository; when it is, automatically drive the PR through a bounded review, verified-fix, reply, thread-resolution, re-review, authorized-merge, and cleanup loop without requiring the user to…
babysit
PR babysitter: monitors CI status, auto-rebases when behind, auto-fixes CI where possible, delegates review comment handling to dlc:pr-check, and re-requests review after fixes. Designed for /loop usage with Remote Control.
review-remote
Review open PR/MR and publish findings.
commit
Prepare and create git commits for dynobox. Use this skill whenever the user asks to commit, create a commit, suggest a commit message, stage changes, or prepare changes for review. Also use it when the user asks whether the changelog should be updated before committing.
fix-train
Batch-apply the requested changes on every open pull request in a GitHub list — fix only, no merge. From a GitHub PRs URL (or the current repo), enumerate every open PR, collect each PR's requested changes (formal CHANGESREQUESTED reviews, inline review comments, and "Issues requiring changes" comments /…
engineering-git-workflow-master
A Git workflow guide covering branches, rebasing, worktrees, commit conventions, and branches that work well with continuous integration. Git is a system for tracking code changes.