Agent skill

Send

by yc-software in yc-software/qm

Make a PR, wait for CI with bounded transport retries, independently review, and merge only when all gates pass.

MITAuto-check passed

Install Send

skills CLI
$ npx skills add yc-software/qm --skill send -a claude-code

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

GitHub CLI
$ gh skill install yc-software/qm send --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/yc-software/qm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-seed/send .claude/skills/send && 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
send
GitHub stars
15k
Token cost
~1.5k tokens
SKILL.md length
877 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Make a PR, wait for CI with bounded transport retries, independently review, and merge only when all gates pass.

  • Works in 6 steps: Make the PR. Commit the discussed change… → File it. Open a pull request with a… → Wait for CI in one blocking process,… → …
  • SKILL.md covers Steps, Notes and Installed skill overrides
  • Calls gh, glab and node

What it does

Send is an agent skill from yc-software/qm. Make a PR, wait for CI with bounded transport retries, independently review, and merge only when all gates pass.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with GitHub and GitLab. The repository describes itself as: Multiplayer agent harness for work. The licence is MIT.

Example prompts

  • “/send”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Make the PR. Commit the discussed change on a feature branch (create one
  2. File it. Open a pull request with a clear title and description covering why and what changed. Use gh for GitHub or glab for
  3. Wait for CI in one blocking process, with bounded transport retries.
  4. Adversarially review the PR — always in a fresh context, before merging.
  5. Fix every real issue found. Address each genuine finding from the
  6. Merge once green AND reviewed. Merge only when all checks pass, the

What it can do on your machine

Read from SKILL.md and the folder at commit 23af31b. 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

    Shell commands in SKILL.md call:

    • gh
    • glab
    • node

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

  • Network

    No URLs in SKILL.md. Its commands use gh and glab, 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

Send loads about 1.5k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 877 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from yc-software/qm at commit 23af31b, republished under its MIT licence (© yc-software). 877 words, ~1,548 tokens.

Download SKILL.mdSave it as .claude/skills/send/SKILL.md (or your agent's skills folder).
name
send
description
Make a PR, wait for CI with bounded transport retries, independently review, and merge only when all gates pass.
requiredCapabilities
egress:github.com, egress:api.github.com, egress:gitlab.com

Babysit

Make a pull request for the change we just discussed, file it, babysit CI, fix any issues that come up, and merge once CI is fully green.

Steps

  1. Make the PR. Commit the discussed change on a feature branch (create one off the default branch if currently on it). Push it.

  2. File it. Open a pull request with a clear title and description covering why and what changed. Use gh for GitHub or glab for GitLab. Detect from the remote.

  3. Wait for CI in one blocking process, with bounded transport retries. Load the github-gitlab skill; it reports the directory holding its scripts. For GitHub, capture the PR's full head SHA and use its bundled helper, not bare gh pr checks --watch:

    bash
    node <github-gitlab dir>/scripts/watch-ci.mjs --repo OWNER/REPO --pr NUMBER --head REVIEWED_HEAD_SHA

    Run this in the background with authorized credentials and subscribe to completion. Keep one watcher per PR; hand off if another agent already owns it. The helper polls internally, retries recognized transport/server errors with bounded backoff, and has a 30-minute overall deadline. Set the background lifetime longer than that. Do not wake the model repeatedly to report pending checks.

    Read the helper's JSON status, not just the exit code. Pending is not failure; TLS timeouts and connection resets are not logout or permission expiry. Failed checks, auth failures, rate limits, unknown errors, exhausted retries, and deadlines all remain nonzero. Keep set -e; never mask failure with a success marker or merge. A changed head invalidates successful checks and reviews: restart both on the new SHA. Empty, skipped, or cancelled checks do not count as success.

    For GitLab, use glab ci status --live; the GitHub helper does not cover it. Preserve its nonzero status and investigate failures before proceeding.

    Also wait for asynchronous reviewers (including Bugbot) to finish on the latest commit. Watcher success alone is never approval to merge.

  4. Adversarially review the PR — always in a fresh context, before merging. Dispatch an independent subagent (or /code-review) that has not seen you write the change. Never review your own diff in the context that produced it — that context already believes the change is correct, and that belief is exactly the bias review exists to defeat. A fresh reviewer is non-negotiable on every send, however small the diff and however green CI is.

    What scales with risk is the reviewer's depth and breadth, not its independence:

    • Small, well-tested, single-file change: one reviewer, modest effort, scoped to the diff and its immediate call sites. Cheap, but still a stranger's eyes.
    • Risky change — core control flow, auth/credentials/security, data loss or migrations, concurrency and retry logic, spend, a public API contract, or a diff too large to hold in your head: high effort, wider blast-radius reading, and consider several reviewers with distinct lenses (correctness, security, does-it-actually-reproduce).

    Prompt the reviewer to break the change: correctness bugs, edge cases, regressions, security holes, violations of the repo's CLAUDE.md/spec, overengineering (needless abstraction, flags, layers, or generality for one caller — prefer the simplest thing that works), and reward hacking (tests weakened, skipped, or tailored to pass rather than to verify; assertions gutted; intent met in letter but not spirit; CI gamed). Treat the diff as guilty until proven correct. Green CI is not review.

  5. Fix every real issue found. Address each genuine finding from the adversarial review, from CI, and from reviewers/bots: fix it, push, and go back to step 3. Re-review the delta, not the whole diff again — a fresh full review per round is how a small PR turns into an afternoon. For anything that needs human judgment, ask the user. Cap at ~3 fix rounds, then stop and report what's unresolved.

  6. Merge once green AND reviewed. Merge only when all checks pass, the adversarial review is clean (no unaddressed findings), and there are no unresolved comments/findings — re-read checks and review threads, then merge directly (gh pr merge NUMBER --repo OWNER/REPO --squash --match-head-commit REVIEWED_HEAD_SHA / glab mr merge --squash). Do not use platform auto-merge — it fires the moment required checks pass, before async bots like Bugbot finish and before your review is done.

Show full SKILL.md (205 more words)Show less

Notes

  • "Pull request" = PR/MR; same thing on either platform.
  • The review is non-optional on every send, and always runs in a fresh context — what scales with risk is how deep the reviewer goes, never whether it's someone other than the author.
  • Don't merge with open Bugbot/reviewer findings on the current commit.
  • Weight human feedback over bot feedback; don't blindly accept everything.
  • Prefer rebase over merge for conflicts. Never amend commits.
  • Verify locally with the affected tests, not the whole suite. Run the tests covering what you changed, plus typecheck and lint, then push and let CI be the full gate. CI shards the suite across parallel runners; reproducing that serially on one machine can cost 4x the wall clock for the same signal. Run the full suite locally only when the change is broad enough that you can't tell which tests are affected.

Installed skill overrides

This workflow uses the github-gitlab seed skill's bundled watcher. Existing user-authored skills with the same name are not overwritten by seed installation. If an installed send or github-gitlab skill still says to use bare gh --watch, update that managed skill explicitly with its owner's approval. Do not claim an upstream merge updates already-published custom skills or running watcher scripts.

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

Files

Just SKILL.md in skills-seed/send of yc-software/qm.

Open the folder on GitHubat commit 23af31b

Compare with similar skills

Send 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.

Send compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Send this skillyc-software/qm15k—~1.5kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
Visual Reviewai-dynamo/dynamo8.2k—~4.5kAutomated safety check: PassApache-2.0
Debate ReviewamElnagdy/review-skills1322 repos~986Automated safety check: PassMIT
degit Project ScaffoldingRich-Harris/degit7.9k—~534Automated safety check: PassMIT

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Works with

Questions about Send

What does Send do?

Make a PR, wait for CI with bounded transport retries, independently review, and merge only when all gates pass. Send is an agent skill from yc-software/qm. Make a PR, wait for CI with bounded transport retries, independently review, and merge only when all gates pass.

How do I install Send in Claude Code?

Run `npx skills add yc-software/qm --skill send -a claude-code`. Or copy the skill folder (skills-seed/send in yc-software/qm) into .claude/skills/send in your project. Claude Code loads it when a task matches its description.

How do I install Send in Codex?

Run `npx skills add yc-software/qm --skill send -a codex`. Or copy the skill folder (skills-seed/send in yc-software/qm) into .agents/skills/send in your project. Codex loads it when a task matches its description.

Can I use Send 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 yc-software/qm --skill send -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/send, .gemini/skills/send, .github/skills/send and .opencode/skills/send in your project.

What does Send need to run?

Going by SKILL.md and its folder, Send needs the command-line tools its instructions call (gh, glab and node).

Does Send 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 Send 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. Review the folder before installing.

What licence does Send use?

Send 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 Send use?

About 1.5k tokens (SKILL.md is roughly 6.2k 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 Send?

Skills that share tags, products or a category with Send: Greploop (onyx-dot-app/onyx, 32k stars), Check PR (onyx-dot-app/onyx, 32k stars), Visual Review (ai-dynamo/dynamo, 8.2k stars) and Debate Review (amElnagdy/review-skills, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Send?

yc-software (a GitHub organization) maintains it in yc-software/qm, which has 15,357 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 6, 2026.

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