PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
A skill your agent uses when a DeerFlow maintainer needs comment-only GitHub issue or PR handling: resolve issue/PR scopes with gh, analyze issues, post or draft issue comments, perform PR review…
$ npx skills add bytedance/deer-flow --skill deerflow-maintainer-orchestrator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bytedance/deer-flow deerflow-maintainer-orchestrator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agent/skills/deerflow-maintainer-orchestrator .claude/skills/deerflow-maintainer-orchestrator && rm -rf skills-srcUse ~/.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/
Install the "deerflow-maintainer-orchestrator" agent skill from https://github.com/bytedance/deer-flow/tree/main/.agent/skills/deerflow-maintainer-orchestrator into .claude/skills/deerflow-maintainer-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deerflow-maintainer-orchestrator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/bytedance/deer-flow/tree/main/.agent/skills/deerflow-maintainer-orchestratorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add bytedance/deer-flow --skill deerflow-maintainer-orchestrator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bytedance/deer-flow deerflow-maintainer-orchestrator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agent/skills/deerflow-maintainer-orchestrator .agents/skills/deerflow-maintainer-orchestrator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deerflow-maintainer-orchestrator" agent skill from https://github.com/bytedance/deer-flow/tree/main/.agent/skills/deerflow-maintainer-orchestrator into .agents/skills/deerflow-maintainer-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deerflow-maintainer-orchestrator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bytedance/deer-flow --skill deerflow-maintainer-orchestrator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bytedance/deer-flow deerflow-maintainer-orchestrator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agent/skills/deerflow-maintainer-orchestrator .cursor/skills/deerflow-maintainer-orchestrator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deerflow-maintainer-orchestrator" agent skill from https://github.com/bytedance/deer-flow/tree/main/.agent/skills/deerflow-maintainer-orchestrator into .cursor/skills/deerflow-maintainer-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deerflow-maintainer-orchestrator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/bytedance/deer-flow.git --path .agent/skills/deerflow-maintainer-orchestrator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add bytedance/deer-flow --skill deerflow-maintainer-orchestrator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bytedance/deer-flow deerflow-maintainer-orchestrator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agent/skills/deerflow-maintainer-orchestrator .gemini/skills/deerflow-maintainer-orchestrator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deerflow-maintainer-orchestrator" agent skill from https://github.com/bytedance/deer-flow/tree/main/.agent/skills/deerflow-maintainer-orchestrator into .gemini/skills/deerflow-maintainer-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deerflow-maintainer-orchestrator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install bytedance/deer-flow deerflow-maintainer-orchestratorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add bytedance/deer-flow --skill deerflow-maintainer-orchestrator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agent/skills/deerflow-maintainer-orchestrator .github/skills/deerflow-maintainer-orchestrator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deerflow-maintainer-orchestrator" agent skill from https://github.com/bytedance/deer-flow/tree/main/.agent/skills/deerflow-maintainer-orchestrator into .github/skills/deerflow-maintainer-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deerflow-maintainer-orchestrator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bytedance/deer-flow --skill deerflow-maintainer-orchestrator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bytedance/deer-flow deerflow-maintainer-orchestrator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agent/skills/deerflow-maintainer-orchestrator .opencode/skills/deerflow-maintainer-orchestrator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deerflow-maintainer-orchestrator" agent skill from https://github.com/bytedance/deer-flow/tree/main/.agent/skills/deerflow-maintainer-orchestrator into .opencode/skills/deerflow-maintainer-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deerflow-maintainer-orchestrator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
deerflow-maintainer-orchestratorA skill your agent uses when a DeerFlow maintainer needs comment-only GitHub issue or PR handling: resolve issue/PR scopes with gh, analyze issues, post or draft issue comments, perform PR review…
Deerflow Maintainer Orchestrator is an agent skill from bytedance/deer-flow. Use when a DeerFlow maintainer needs comment-only GitHub issue or PR handling: resolve issue/PR scopes with gh, analyze issues, post or draft issue comments, perform PR review comments, review PR or issue batches, compare competing PRs that target the same issue, give fix strategy, risk classification, and validation guidance. Intended for maintainers and trusted local agents, not general contributors.
Its SKILL.md is about 5.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Pull requests and Legal risk assessment. It works with GitHub. The repository describes itself as: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles… The licence is MIT.
12 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ab9920f. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
ghgitmakepnpmuvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, git, pnpm and uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
BETTER_AUTH_SECRETFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Deerflow Maintainer Orchestrator loads about 5.4k tokens when it runs. Until then it costs about 110 tokens; SKILL.md has 2,846 words of instructions outside code blocks.
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.
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); files beside SKILL.md are not scanned.
The full file from bytedance/deer-flow at commit ab9920f, republished under its MIT licence (© bytedance). 2,846 words, ~5,354 tokens.
.claude/skills/deerflow-maintainer-orchestrator/SKILL.md (or your agent's skills folder).This is a comment-plane skill: resolve GitHub scope, inspect evidence, and prepare or post DeerFlow issue comments and PR review comments. Keep the work comment-scoped; do not turn it into coding, branch management, release work, artifact closure, or other maintainer operations.
When the maintainer asks to process, handle, comment on, or review a bounded set of issues or PRs, proceed without asking follow-up questions. Treat that request as authorization for one public issue comment per selected non-skipped issue and one PR review comment per selected PR with high-confidence findings. If a PR has no high-confidence findings, do not post a public comment; report that result to the maintainer only. If the maintainer explicitly asks for analysis only, return comment-ready drafts without posting.
The maintainer's normal interaction should be: provide scope; receive posted comment URLs, PR review URLs, clean results, skipped items, failures, or drafts. Do not offload technical analysis to the maintainer. Make the best evidence-backed recommendation in the comment itself: describe the risk, impact, likely fix, and validation path. Ask the reporter or PR author for missing evidence only when the artifact lacks enough data to diagnose.
Output only the maintainer run result or comment draft. Do not announce the skill name, mode, or that no code was edited unless the user asks for process details.
Match the dominant language of the issue or PR unless the maintainer asks for another language. Chinese issue or PR text gets Chinese output; English issue or PR text gets English output. For mixed artifacts, use the body language, not logs or code.
Use GitHub tooling to resolve artifact type and scope. Do not ask the maintainer to clarify when gh or GitHub API can determine the answer.
bytedance/deer-flow unless a URL or explicit repo says otherwise./issues/<number> to Issue Flow and /pull/<number> to PR Review Flow.gh issue view <number> --repo <repo> --json number,title,url,state,body,labels,author,commentsgh pr view <number> --repo <repo> --json number,title,url,state,body,author,files,comments,reviews,statusCheckRollup,baseRefName,headRefName#123, # 123, and bare 123 into a number list, preserving order and de-duplicating exact repeats.gh pr view <number> --repo <repo> --json number,url first. If it fails, use gh issue view <number> --repo <repo> --json number,url. Do not ask which type it is.gh issue list, not the mixed GitHub issues endpoint. For PR batches, use gh pr list.gh api when gh issue/pr view/list lacks required fields such as timeline events, review threads, or precise search filters.Closes/Fixes #<issue>) found via gh api timeline cross-reference events, and PRs that mention the issue. Route them into Competing PR Comparison.Use concise repo-local references such as #123 and PR #123 in maintainer reports and comments. Include full GitHub URLs only for posted comment/review links returned by GitHub or when the maintainer supplied an explicit URL.
Existing comments suppress duplicate posting, not analysis. Always analyze the artifact in full, then post only the net-new delta over what is already covered.
Adding to @reviewer's review:) and states only the new items. Do not restate covered points.Already covered to the maintainer with the existing comment/review URL.RFC issues are the one hard skip: no analysis and no post unless the maintainer overrides.
Use Issue Flow for GitHub issues, bug reports, feature requests, support questions, and issue batches.
Start every issue with a cheap precheck:
rfc, [RFC], RFC:, or Request for Comments), classify it as rfc-no-comment, skip deep analysis, and do not post anything public unless the maintainer explicitly overrides the RFC skip for that item.For non-skipped issues:
ready-to-fix: bounded, evidence sufficient, validation path clear.needs-more-evidence: repro, logs, environment, screenshots, exact expected behavior, or failing case missing.defer-or-close: duplicate, stale, unsupported, unactionable, or out of scope.rfc-no-comment: RFC issue; skip public comments by default.Thanks @author. for reporter-authored issues when it reads naturally; omit the mention for bots, maintainer-authored tracking issues, or cases where it would add noise.Thanks @author. <one specific sentence that frames the fix, investigation, or missing evidence.>
Recommended solution:
- ...
Validation:
- ...Evidence: only when citing concrete code, logs, reproduction details, or other proof helps the author act.Risk: only when architecture, security, public API, default behavior, or compatibility impact must be called out explicitly; make the risk specific.Missing info: only when the issue cannot be diagnosed without more evidence; ask for the smallest useful data.Evidence: or Recommended solution: bullets instead of separate metadata fields.Missing info:.Reply draft.Do not expose private reasoning, credentials, internal-only context, or unsupported promises. Do not say a fix was made unless a separate coding workflow actually changed code.
Use PR Review Flow for GitHub pull requests and PR batches.
Start every PR with a cheap precheck:
statusCheckRollup as signal, not verdict. Failing required checks are themselves a reportable finding (build failure = P0; failing tests or lint = P1/P2 by impact). Green checks lower risk but never excuse reading the actual changed code path — confirm suspect logic by reading the source, not by trusting green CI. Tests passing does not prove the changed branch is exercised.Before reviewing a local PR branch or local diff, fetch the base repository's target branch and compare against that fresh remote-tracking ref, not a possibly stale local main.
upstream/<base-branch> when upstream points to the base repository.origin/<base-branch>.main only after fetching the base remote.git fetch <base-remote> +refs/heads/<base-branch>:refs/remotes/<base-remote>/<base-branch>, then inspect BASE=$(git merge-base HEAD <base-remote>/<base-branch>) and git diff "$BASE"...HEAD.FETCH_HEAD from a single-branch fetch instead, diff against that verified FETCH_HEAD immediately and do not later substitute a possibly stale remote-tracking ref.git fetch <base-remote> pull/<n>/head:pr-<n>. The fork's own branch ref and gh api .../contents?ref=<fork-branch> will 404 against the base repo. Record the head SHA you reviewed.Before posting a PR review comment:
No high-confidence review findings. or Already covered) plus any sub-threshold items as Maintainer notes.For public PR reviews with findings, start with one short opener that fits the review context and matches the finding count. Use singular wording only for exactly one finding, for example Thanks @author. I found one issue that should be addressed before this is ready. Use plural wording for multiple findings, for example Thanks @author. I found a few issues that should be addressed before this is ready. Omit the mention for bots or when it adds noise.
For each finding, use:
[P0/P1/P2] Title
- Location: file and line/range
- Problem: what can go wrong
- Evidence: why the diff causes it
- Suggested fix: concrete minimal fix
- Test: what test should cover itSeverity guide:
P0: causes outage, data loss, security breach, or build failure.P1: likely production bug, serious regression, broken compatibility, or high-risk security/architecture issue.P2: correctness, maintainability, or test concern with lower risk.Posting depends on BOTH confidence (is the problem real?) and severity (how bad if real). They are independent axes — "no high-confidence findings" means none across P0/P1/P2, not merely "no P0".
Maintainer notes framed as a hypothesis to verify.Maintainer notes channel in the run result, never to a public comment.Do not produce compliments, summaries, or general advice. For sensitive security issues, describe impact and remediation without exploit instructions.
When the scope has multiple artifacts, cluster before reviewing and synthesize after.
Cluster by relatedness, not by type. Group artifacts that share files, interfaces, or the same issue/feature into one cluster; same-type artifacts that touch disjoint files are independent.
After per-artifact review, run one synthesis pass over the whole batch and report it to the maintainer (decision-support, not a public comment):
When several PRs target the same issue, compare them instead of reviewing each in isolation.
Do not ask the maintainer routine clarification questions. The skill should save maintainer time by turning scope into comments through a fixed workflow.
Stop without asking only when:
gh view/list, gh api, or GitHub search fallback;In these cases, return a compact failure report with the attempted command path and the smallest next action. Do not phrase it as a question unless the maintainer explicitly asked to be prompted.
Treat these as high-signal areas for issue comments and PR findings:
backend/packages/harness/deerflow/ must not import app.*.Recommend the checks matching the touched surface:
| Surface | Suggested validation |
|---|---|
| Backend API / harness / agents / MCP / skills runtime | cd backend && make lint && make test |
| Blocking IO or async file/network work | cd backend && make test-blocking-io or a focused blocking-IO regression |
| Harness/app boundary | cd backend && uv run pytest tests/test_harness_boundary.py |
| Frontend UI/core | cd frontend && pnpm format && pnpm lint && pnpm typecheck && BETTER_AUTH_SECRET=local-dev-secret pnpm build && make test |
| Front/back thread or SSE contract | backend replay golden and full-stack replay render where feasible |
| Frontend user workflow | Playwright E2E or browser proof with screenshot/DOM assertion |
| Docker/sandbox/provisioner | focused backend tests plus Docker/provisioner smoke when feasible |
| Docs-only | targeted markdown review |
For Issue Flow:
Run result:
Posted:
Skipped:
Already covered:
Failed:
Maintainer notes:
Per issue:
Issue:
Surface:
Actionability:
Risk:
Comment:
Validation:
Comment status:For PR Review Flow:
Run result:
Reviewed:
Skipped:
Clean:
Already covered:
Failed:
Maintainer notes:
Per PR:
PR:
Public review:
Findings:
Review status:For analysis-only requests, replace Posted/Reviewed with Drafted and include the comment/review text without posting.
For batches, prefer a compact maintainer-facing table after the headline counts:
| Artifact | Status | Public action | Notes |
| --- | --- | --- | --- |
| #123 | posted | comment URL | short reason |
| PR #456 | reviewed | review URL | P1: finding title |
| PR #789 | clean | none | No high-confidence review findings. |
| #321 | already covered | none | existing maintainer comment |For multi-artifact batches, follow the table with a Batch synthesis block (overlapping files, merge-order/conflict surface, duplicate or competing solutions, composition risk) and, when issues had competing PRs, a Competing PR comparison block. Both are maintainer-only.
Omit empty categories, no-op fields, routine command output, and raw logs. Report meaningful changes, evidence, and options.
© bytedance, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agent/skills/deerflow-maintainer-orchestrator of bytedance/deer-flow.
Open the folder on GitHubat commit ab9920f
Deerflow Maintainer Orchestrator 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deerflow Maintainer Orchestrator this skillbytedance/deer-flow | 84k | — | ~5.4k | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Check PRonyx-dot-app/onyx | 32k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Contributor-First PR MergeHKUDS/OpenHarness | 16k | 1 repos | ~847 | Automated safety check: Pass | MIT | |
| Create Pull Requestcline/cline | 70k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Pull Request Title and Body Writeropeninterpreter/openinterpreter | 69k | 2 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 |
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
onyx-dot-app/onyx
Checks a GitHub, GitLab, or Perforce (p4) pull request (or merge request, or shelved changelist) for unresolved review comments, failing status checks, and incomplete PR descriptions.
HKUDS/OpenHarness
Merges external GitHub pull requests while keeping the original author credited, and fixes conflicts after the merge instead of rewriting the contribution.
cline/cline
Opens a GitHub pull request from your current branch with the gh CLI, after reviewing the commits and diff and gathering the details the PR needs.
openinterpreter/openinterpreter
Rewrites the title and body of one or more pull requests with gh, leading with why the change was made, then what changed, and describing only the net result.
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
bytedance/deer-flow
Deploys a project to Vercel with one script and no login, then returns a live preview URL and a claim link for moving the deployment into your own Vercel account.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
bytedance/deer-flow
Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.
bytedance/deer-flow
Turns an image request into a structured JSON prompt and runs a bundled Python script to generate the picture, optionally guided by reference images.
bytedance/deer-flow
Walks through an end-to-end smoke test of a DeerFlow deployment: pull the latest code, deploy with Docker or locally, verify services, run health checks and write a report.
Works with
Categories
A skill your agent uses when a DeerFlow maintainer needs comment-only GitHub issue or PR handling: resolve issue/PR scopes with gh, analyze issues, post or draft issue comments, perform PR review…. Deerflow Maintainer Orchestrator is an agent skill from bytedance/deer-flow. Use when a DeerFlow maintainer needs comment-only GitHub issue or PR handling: resolve issue/PR scopes with gh, analyze issues, post or draft issue comments, perform PR review comments, review PR or issue batches, compare competing PRs that target the same issue, give fix strategy, risk classification, and validation guidance.
Deerflow Maintainer Orchestrator fits situations like: A DeerFlow maintainer needs comment-only GitHub issue; PR handling: resolve issue/PR scopes with gh; draft issue comments; perform PR review comments.
Run `npx skills add bytedance/deer-flow --skill deerflow-maintainer-orchestrator -a claude-code`. Or copy the skill folder (.agent/skills/deerflow-maintainer-orchestrator in bytedance/deer-flow) into .claude/skills/deerflow-maintainer-orchestrator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add bytedance/deer-flow --skill deerflow-maintainer-orchestrator -a codex`. Or copy the skill folder (.agent/skills/deerflow-maintainer-orchestrator in bytedance/deer-flow) into .agents/skills/deerflow-maintainer-orchestrator in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bytedance/deer-flow --skill deerflow-maintainer-orchestrator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deerflow-maintainer-orchestrator, .gemini/skills/deerflow-maintainer-orchestrator, .github/skills/deerflow-maintainer-orchestrator and .opencode/skills/deerflow-maintainer-orchestrator in your project.
Going by SKILL.md and its folder, Deerflow Maintainer Orchestrator needs the command-line tools its instructions call (gh, git, make, pnpm and uv) and credentials named BETTER_AUTH_SECRET.
SKILL.md contains no URLs. Its commands use gh, git and uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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. Review the folder before installing.
Deerflow Maintainer Orchestrator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.4k tokens (SKILL.md is roughly 21k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Deerflow Maintainer Orchestrator: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars), Contributor-First PR Merge (HKUDS/OpenHarness, 16k stars) and Create Pull Request (cline/cline, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
bytedance (a GitHub organization) maintains it in bytedance/deer-flow, which has 83,611 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 10, 2026.
Source: bytedance/deer-flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.