Agent skill

Triage PRs

by openchamber in openchamber/openchamber

Load when asked to triage, clean up, batch-process, or work through the open PR queue or backlog — covers the mechanical sweep (stale, conflicts, duplicates), fan-out verdict reviews, and approved…

MITAuto-check passed

Install Triage PRs

skills CLI
$ npx skills add openchamber/openchamber --skill triage-prs -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openchamber/openchamber triage-prs --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openchamber/openchamber.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/triage-prs .claude/skills/triage-prs && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
triage-prs
GitHub stars
11k
Token cost
~4.4k tokens
SKILL.md length
2,701 words
Files
3 (incl. scripts)
Skills in repo
21
Repo updated
First seen
Licence
MIT

At a glance

Load when asked to triage, clean up, batch-process, or work through the open PR queue or backlog — covers the mechanical sweep (stale, conflicts, duplicates), fan-out verdict reviews, and approved…

  • Works in 3 steps: Mechanical sweep (no judgment, no LLM… → Approved batch actions → Verdict reviews
  • SKILL.md covers Phase 1 — Mechanical sweep (no…, Phase 2 — Approved batch actions, Phase 3 — Verdict reviews and Message templates
  • Runs Shell scripts from its folder; calls gh

What it does

Triage PRs is an agent skill from openchamber/openchamber. Load when asked to triage, clean up, batch-process, or work through the open PR queue or backlog — covers the mechanical sweep (stale, conflicts, duplicates), fan-out verdict reviews, and approved batch actions.

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/finish.sh` and `scripts/prep.sh`).

The repository describes itself as: Agentic Development Environment based on OpenCode AI agent. The licence is MIT.

Example prompts

  • “/triage-prs”

Requirements

  • A Bash shell

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Mechanical sweep (no judgment, no LLM verdicts)
  2. Approved batch actions
  3. Verdict reviews

What it can do on your machine

Read from SKILL.md and the folder at commit ea1182c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Triage PRs loads about 4.4k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 2,701 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from openchamber/openchamber at commit ea1182c, republished under its MIT licence (© openchamber). 2,701 words, ~4,374 tokens.

Download SKILL.mdSave it as .claude/skills/triage-prs/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
triage-prs
description
Load when asked to triage, clean up, batch-process, or work through the open PR queue or backlog — covers the mechanical sweep (stale, conflicts, duplicates), fan-out verdict reviews, and approved batch actions.

Turn an unbounded PR queue into a short list of maintainer decisions. The pipeline has three phases; no GitHub write happens in any phase without the maintainer approving that specific batch — present verdicts and drafted messages first, act on their word.

Companion: each substantive review inside phase 3 applies the pr-review skill; this skill owns only the batch mechanics around it.

The timeline outranks the snapshot. Before any verdict or comment on a PR, read its full timeline — issue comments AND reviews (gh pr view --json comments,reviews or gh api repos/{owner}/{repo}/pulls/N/reviews; a maintainer's Changes requested is a review and never appears in the comments list) AND commits since the last human event: a prior maintainer verdict (a push-back list, a recorded product decision like a placement or scope call) is BINDING — a new sweep verifies whether it was addressed at the current HEAD and says so explicitly ("all three prior items resolved" / "item 2 still open"), never re-decides it or asks the maintainer the same product question again. And never post the generic rebase-request on a PR that already carries a substantive review comment — the author already has their instructions; a bare "please rebase" on top reads as the left hand not knowing the right.

Pickup mode. A PR with human activity beyond the bot — a maintainer comment, an author reply, a trusted-reviewer thread — is a conversation in progress, not a fresh review target. Such PRs go into their own report bucket ("Розмова триває"), and each entry opens with the thread state: what the maintainer asked, what the author answered, which points are resolved at the current HEAD and which remain. The ready action continues the thread (a reply, a verdict on the author's answer, a merge if everything asked for was delivered) — it never restarts review from scratch. The maintainer may not remember their own comment from days ago; the sweep remembers for them.

Phase 1 — Mechanical sweep (no judgment, no LLM verdicts)

Fetch all open PRs with gh (the repo is openchamber/openchamber). Two measurement rules learned the hard way:

  • Staleness is the last commit date on the branch, never updatedAt — bots bump updatedAt with every comment and label. Fetch last-commit dates with batched GraphQL (commits(last: 1)), ~50 PRs per query.
  • gh pr list silently defaults to 30 rows — always pass --limit above the real queue size and print the resulting count.

Bucket every non-draft PR:

BucketConditionAction template
Deadmerge conflict AND no author commit in >30 daysclose with stale-close
Conflicted-activemerge conflict, author committed within 30 daysphase 3 review pool; a PR worth taking we rebase and finish ourselves (see Landing a PR ourselves). rebase-request only when the author has something to decide, or maintainerCanModify is false
Waiting on authorthe last substantive event is a request for changes — a maintainer review with CHANGES_REQUESTED, a maintainer push-back comment, or a bot review:blocked / review:needs-evidence — and the author has neither pushed nor replied sinceone line in the report ("чекає автора: <what was asked>"); no re-review, no new comment — the ball is theirs
Cleanmergeable and not waiting on the authorphase 3 review pool
DraftisDraftuntouched while the author committed within 14 days, and always for the team's own drafts (btriapitsyn, yulia-ivashko, deatheros, AlexKutas); otherwise close with stale-draft

Then detect duplicate clusters across the survivors: pairs with high title-token overlap or high changed-file overlap. For each cluster recommend one keeper (prefer: mergeable over conflicted, references an issue, smaller diff, earlier author — a later near-identical body is likely a regenerated copy of the earlier PR, and the earlier author keeps the credit); the rest close with duplicate-close.

Deliver the sweep as one report (counts per bucket, per-bucket tables with number/title/author/size/last-commit-age/areas, clusters with keeper recommendations) and stop for approval.

Phase 2 — Approved batch actions

Execute the approved closes/comments with retries and ~1–2s spacing between calls. Log every result; report exact ok/fail counts and re-verify the open-PR total afterwards. Branch protection may reject merges — --admin is available and accepted for maintainer-approved merges; a merge that becomes conflicted mid-batch (usually CHANGELOG collisions from the batch's own merges) can be resolved in a temporary worktree and pushed to the contributor's branch when maintainerCanModify is true.

Phase 3 — Verdict reviews

Trusted community reviewers. yulia-ivashko is a core maintainer with merge rights — her review decisions carry maintainer weight (a PR she approved or merged needs no re-verdict; her open questions are the maintainer's questions). Comments and reviews from patrick-motard and mattv8 are strong human signals: during any sweep, collect the PRs/issues they weighed in on, read their assessment, and carry it into the verdict — an approval from them upgrades confidence like a passing verifier; a concern from them is a finding to verify, never to ignore. They write free-form; map their conclusion onto the verdict ladder rather than expecting the format.

The intake workflow (.github/workflows/pr-intake.yml) adds size:* (changed lines, tests/lockfiles/translations excluded) to every PR and parks size:XL/XXL PRs from non-collaborators with no Ideas discussion linked under needs-discussion. Parked PRs are waiting on author for the sweep: the report lists them in one line each and no verdict review is spent on them until a discussion link appears or the maintainer removes the label by hand (the workflow never re-adds it). Cutover: 2026-09-22. PRs opened before that date got the label from the first relabel run, with no comment and no rule in place when the author started: for them needs-discussion is size information, not a parking decision. Treat those as ordinary review pool entries (size and product fit judged by the pr-review skill as usual), and never send the author to Ideas for a PR that predates the rule. The parking applies as written only to PRs opened on or after 2026-09-22.

The review bot's review:* labels are a pre-sort, not a verdict: review:ready PRs go first (the bot found no code defects — likely MERGE/MERGE-THEN-FIX), review:blocked ones carry a bot comment whose findings the verdict review verifies rather than rediscovers. Bot labels never replace the pr-review pass — the bot cannot judge product fit or maintainability scope. The reverse holds too: when the bot's BLOCKED findings are the whole story and the author has not answered, the maintainer never re-posts them in their own voice — the PR is waiting on author and the report says so in one line.

Split the clean pool smallest-first (tiny diffs are fast wins and most likely mergeable). Fan out the review subagent (.opencode/agent/review.md, which loads the pr-review skill and carries the hard rules). It takes one PR or several per call — group related PRs together when one context can serve them, give a large or contentious PR its own call; fall back to a general subagent that receives the full pr-review skill text when review is unavailable. The subagent inherits the chat's model; never hand verdicts to a smaller model to save quota — a verdict from a small model is a pre-sort, not a decision. Each returns per-PR verdict blocks in the skill's output format.

Report format. The consolidated report is what the maintainer decides from — calibrate each entry so no follow-up question is needed, without ballooning:

  • Every PR/issue reference is a clickable link: [#3177](https://github.com/openchamber/openchamber/pull/3177) (issues: /issues/N) — never a bare number.
  • One entry per PR, 2–4 sentences: what it does for the user, whether the problem is real, why this verdict, the main risk or the thing the decision turns on. "Closes #N" links included.
  • A "needs your hands" line appears only when the check gates the merge (per the pr-review skill), and lives INSIDE the PR's own entry as its final line — never as a separate section repeating the numbers. A plain MERGE entry carries no checklist.
  • Thread-state line first for pickup-mode entries.
  • A one-line entry ("точковий фікс") is fine only for genuinely trivial diffs; a verdict the maintainer must weigh (product calls, larger features) gets the full 4 sentences.

Consolidate into a single report grouped by verdict — MERGE, MERGE-THEN-FIX, PUSH-BACK (with the drafted lists), DECLINE (with the drafted close comments), plus every "needs your hands" line — and stop for approval. Each entry carries the subagent's Ready action verbatim — the comment or follow-up list exactly as it will be posted or executed, in a quote block under the entry. The consolidation summarizes the reasoning, never the artifact: a paraphrased push-back item loses the file, the cause, and the "done means" the subagent already found, and the maintainer approves what they can read, not a description of it. After approval: post/merge per verdict, and queue MERGE-THEN-FIX follow-ups as in-house work.

If a batch subagent skips a PR, notice (count outputs against inputs) and re-dispatch the gap.

A PR whose verdict needs more than a review — deep investigation of a core path, a rework against code main has rewritten, or a live check — can go to its own session with the PR linked to it. Keep it the exception: most PRs, including fix-then-merge ones, are finished inside the triage session.

Show full SKILL.md (1,218 more words)Show less
Landing a PR ourselves

The default for a PR we want is fix-then-merge in the author's branch, with the author keeping the credit. scripts/prep.sh <N> puts the whole PR on current main as one staged change in a throwaway worktree (conflicts resolved once, not per commit); after fixing and validating there, scripts/finish.sh <N> "<subject>" "<comment>" ["Closes #M"] commits as the author, pushes to their branch, posts the comment and squash-merges.

  • Take the essence. When main has moved under a PR, or the PR bundles extras, land the part that fixes the problem and leave the rest: the 6-line fix out of 250 lines of instrumentation, the concurrency cap without the profiler scenario, the bug fix without the limit bump. A PR that mixes a fix with a change to how the app looks lands the fix; the look goes to the maintainer as a decision. The comment to the author names what was left out and why.
  • A dropped concern is checked in the whole diff. Conflict hunks are not the whole PR: auto-merged hunks of a concern you decided to leave out still land. Before finishing, grep the staged diff for that concern by its own terms.
  • A red check is read before it is believed. Find which check failed: the review bot's automation job failing means the bot did not run, and a test that fails on the PR but passes on current main is a stale run, not the PR.
  • Renovate PRs that touch the same file conflict with each other once one lands. Merge them one at a time; for the rest tick the rebase checkbox in the PR body (gh pr edit --body-file) and come back.
Optional: decision rounds through the question tool

When the batch holds more than a handful of verdicts, offer this alongside the consolidated report: "I can walk you through them as cards instead, a few at a time." Use it only if the maintainer says yes; a large report is otherwise read in one go.

A round is one call to the question tool with 4–6 cards. Each card is one decision:

  • Header: #N plus two or three words naming the behavior (#3640 Cmd+Enter), within 30 characters.
  • Body: the PR as a markdown link ([#N](https://github.com/openchamber/openchamber/pull/N); the cards render markdown) with a plain title on the first line, then 3–4 sentences about what the user sees in the app today, what changes after the PR, and what it costs (risk, a new surface, a dependency, a support burden). Describe behavior, never file names; spell out jargon the maintainer would not use.
  • Options: 2–3, the recommended one first with (Recommended). Each option says its consequence ("Close: /btw stays a command"), not only a verb. When our own follow-up is part of the verdict, the option says so ("Merge, then we fix the 1px offset").

Order the rounds by how much the maintainer is needed: product decisions first, then plain bug-fix merges, then fix-before-merge, then merge-then-fix, and last one card that confirms all mechanical closes (duplicates, superseded, stale) as a list. A group of trivial, uncontested merges (translations, one-line fixes) shares one card with a one-line description per PR.

Between rounds:

  • A free-text answer is read for what it is. When it states a decision (often with how to word the reply), act on it; when it asks or doubts, answer that before moving on and re-ask the PR in the next round with the corrected facts.
  • When the maintainer doubts a claim ("are you sure that's still broken?", "that sounds fragile"), check the code and the current main yourself before replying; a reviewer's verdict is a lead, not proof, and these checks have overturned verdicts (a merge that would have mislabeled squash-merged branches, a "bug" that was a deliberate style). Report what you found in plain words, then re-ask.
  • A product decision the maintainer states during the rounds is binding: record it where it will be found next time (memory, or the owning skill) as soon as it is given.

When every card is answered, show one summary grouped by outcome, list what will need the maintainer's own hands (a live check on a device or a packaged app), and get one explicit go before any GitHub write. Comments to people the maintainer works with closely (team members, regular volunteers) are shown as drafts before posting; the rest go out in the maintainer's voice without a separate review.

After a batch of merges:

  1. Run the full type-check and every package's test suite on current main. main has no CI of its own, and PRs validated one by one were never validated together.
  2. Write a symptom map of what landed (area, PR, merge sha, which part we wrote) to .opencode/plans/pr-triage-<date>-merged.md, so a later regression can be traced to its PR quickly.
  3. Write the testing list for the maintainer to .opencode/plans/pr-triage-<date>-what-changed.md, in Ukrainian: grouped by area of the app, each entry a linked PR (or commit) and two or three sentences on what the user sees change, marking single-platform changes and the parts we rewrote.

Message templates

Canonical texts — reuse verbatim, adjusting only bracketed parts. Tone rules: honest about the backlog, no "feel free to reopen", thanks proportional to real effort.

stale-close

Closing this as stale: the branch has merge conflicts with main and hasn't been updated in over a month. The codebase has moved on significantly since this was opened, so this change would need to be redone against the current state anyway.

rebase-request

Sorry for the review backlog — the queue is currently far beyond what a single maintainer can handle. This PR has merge conflicts with main, and I can only review PRs that merge cleanly. If you're still interested in landing this, please rebase — conflicted PRs without activity will eventually be closed as stale.

stale-draft

Closing this as stale: it's been a draft with no new commits for a while, and main has moved on a lot since, so it would need redoing against the current code anyway. Thanks for the work on it.

duplicate-close

Closing as a duplicate of #[N], which will be reviewed instead[: one-clause reason it was kept].

discussion-after-the-fact (the linked Ideas discussion is a summary of the finished PR, posted after the implementation)

Closing this one. The Ideas discussion linked here describes what you already built, so there was never a point where the shape of this could be discussed — by the time it was posted the decision was made. That's the one thing the discussions are for; see the pinned post in Ideas. If you still want this, open a discussion about the problem itself, before any code, and we'll work out from there whether and how it should exist.

oversized-split (single PR bundling several concerns)

Closing this one. It bundles several unrelated concerns — [list] — into a single [size] change across [n] files, which isn't reviewable in this form. If you'd like to pursue [the worthwhile part], please open an Ideas discussion first to agree on scope, and then a focused PR for that single concern.

russian-locale (any PR adding Russian localization — this is a standing decision, apply without re-asking)

We’re not accepting Russian localization for OpenChamber.

This is an intentional maintainership decision due to Russia’s ongoing war against Ukraine. We don’t want to ship or maintain Russian UI support.

Closing.

© openchamber, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in .agents/skills/triage-prs of openchamber/openchamber.

  • SKILL.md
  • scripts/finish.sh
  • scripts/prep.sh

Open the folder on GitHubat commit ea1182c

Compare with similar skills

Triage PRs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Triage PRs compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Triage PRs this skillopenchamber/openchamber11k—~4.4kAutomated safety check: PassMIT
Triage Contributor PRsprisma/orm48k—~3.6kAutomated safety check: PassApache-2.0
Pre-Release PR Triagejamiepine/voicebox57k—~3.1kAutomated safety check: PassMIT
Batchasgeirtj/system_prompts_leaks69k—~1.3kAutomated safety check: PassCC0-1.0
Triaging Issuespytorch/pytorch104k—~4.2kAutomated safety check: PassCustom licence
Issue Triagepaperclipai/paperclip99k—~1kAutomated safety check: PassMIT

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Questions about Triage PRs

What does Triage PRs do?

Load when asked to triage, clean up, batch-process, or work through the open PR queue or backlog — covers the mechanical sweep (stale, conflicts, duplicates), fan-out verdict reviews, and approved…. Triage PRs is an agent skill from openchamber/openchamber. Load when asked to triage, clean up, batch-process, or work through the open PR queue or backlog — covers the mechanical sweep (stale, conflicts, duplicates), fan-out verdict reviews, and approved batch actions.

How do I install Triage PRs in Claude Code?

Run `npx skills add openchamber/openchamber --skill triage-prs -a claude-code`. Or copy the skill folder (.agents/skills/triage-prs in openchamber/openchamber) into .claude/skills/triage-prs in your project. Claude Code loads it when a task matches its description.

How do I install Triage PRs in Codex?

Run `npx skills add openchamber/openchamber --skill triage-prs -a codex`. Or copy the skill folder (.agents/skills/triage-prs in openchamber/openchamber) into .agents/skills/triage-prs in your project. Codex loads it when a task matches its description.

Can I use Triage PRs in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openchamber/openchamber --skill triage-prs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/triage-prs, .gemini/skills/triage-prs, .github/skills/triage-prs and .opencode/skills/triage-prs in your project.

What does Triage PRs need to run?

Going by SKILL.md and its folder, Triage PRs needs a shell for the scripts in its folder and the command-line tools its instructions call (gh). Our summary lists: A Bash shell.

Does Triage PRs access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Triage PRs safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Triage PRs use?

Triage PRs is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Triage PRs use?

About 4.4k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Triage PRs?

Skills that share tags, products or a category with Triage PRs: Triage Contributor PRs (prisma/orm, 48k stars), Pre-Release PR Triage (jamiepine/voicebox, 57k stars), Batch (asgeirtj/system_prompts_leaks, 69k stars) and Triaging Issues (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Triage PRs?

openchamber (a GitHub organization) maintains it in openchamber/openchamber, which has 11,359 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 10, 2026.

Source: openchamber/openchamber on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.