Agent skill

Gh Issues

by HybridAIOne in HybridAIOne/hybridclaw

Process GitHub issues as an automation queue: /gh-issues lists and filters issues, confirms selected issue numbers, deduplicates fix/issue- work, delegates one focused PR per issue, and can monitor…

MITAuto-check passedDevelopment

Install Gh Issues

skills CLI
$ npx skills add HybridAIOne/hybridclaw --skill gh-issues -a claude-code

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

GitHub CLI
$ gh skill install HybridAIOne/hybridclaw gh-issues --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/HybridAIOne/hybridclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gh-issues .claude/skills/gh-issues && 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
gh-issues
GitHub stars
158
Token cost
~4.7k tokens
SKILL.md length
1,923 words
Files
1
Skills in repo
71
Repo updated
First seen
Licence
MIT

At a glance

Process GitHub issues as an automation queue: /gh-issues lists and filters issues, confirms selected issue numbers, deduplicates fix/issue- work, delegates one focused PR per issue, and can monitor…

  • Works in 6 steps: Parse Arguments → Authenticate And Fetch Issues → Present And Confirm → …
  • Tasks that involve Pull requests
  • SKILL.md covers Phase 1 - Parse Arguments, Phase 2 - Authenticate And…, Phase 3 - Present And Confirm and Phase 4 - Issue Processing…, plus 4 more sections
  • Calls gh and git; reaches api.github.com; needs GH_TOKEN

What it does

Gh Issues is an agent skill from HybridAIOne/hybridclaw. Process GitHub issues as an automation queue: /gh-issues lists and filters issues, confirms selected issue numbers, deduplicates fix/issue- work, delegates one focused PR per issue, and can monitor issue-fix PR review feedback. Use this instead of general PR workflow tools only when the entry point is a GitHub issue list or issue-fix queue.

Its SKILL.md is about 4.7k 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. It works with GitHub. The repository describes itself as: Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory. The licence is MIT.

When your agent uses it

  • Tasks that involve Pull requests

Example prompts

  • “/gh-issues”

Workflow steps

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

  1. Parse Arguments
  2. Authenticate And Fetch Issues
  3. Present And Confirm
  4. Issue Processing Preflight
  5. Delegate Issue Fixes
  6. PR Review Handler

What it can do on your machine

Read from SKILL.md and the folder at commit 3624072. 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
    • git

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.github.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GH_TOKEN

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

Context cost

Gh Issues loads about 4.7k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 1,923 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

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 HybridAIOne/hybridclaw at commit 3624072, republished under its MIT licence (© HybridAIOne). 1,923 words, ~4,676 tokens.

Download SKILL.mdSave it as .claude/skills/gh-issues/SKILL.md (or your agent's skills folder).
name
gh-issues
description
Process GitHub issues as an automation queue: /gh-issues lists and filters issues, confirms selected issue numbers, deduplicates fix/issue-* work, delegates one focused PR per issue, and can monitor issue-fix PR review feedback. Use this instead of general PR workflow tools only when the entry point is a GitHub issue list or issue-fix queue.
user-invocable
true
disable-model-invocation
false
requires.bins
git

GitHub Issues

You are an issue queue orchestrator. Follow the phases in order. Do not run processing preflight before the user has selected issues.

Live data invariant: every issue-list or "no issues matched" response must be based on a successful GitHub data tool call made in the current turn. Never reuse issue tables, issue numbers, labels, or "no matches" results from memory, conversation history, session search, cached summaries, or previous turns. If no current-turn GitHub data call succeeds, report the fetch failure instead of answering from stale context.

Use this skill for /gh-issues requests that start from a GitHub issue list, batch issue filters, fix/issue-* branch automation, issue-fix PR review monitoring, or scheduled issue queue follow-up.

Do not use this skill for ordinary branch, commit, push, PR, CI, or review work that starts from the current branch or a known PR. Use a GitHub PR workflow or code-review skill for those.

Phase 1 - Parse Arguments

Parse the arguments after /gh-issues.

Positional:

  • owner/repo: source repository. If omitted, infer it from git remote get-url origin; if that is unavailable, ask for owner/repo. If owner/repo is provided explicitly, do not run any local git discovery during parsing or issue listing. Local checkout checks belong only to Phase 4 after issue selection.

Flags:

FlagDefaultDescription
--label <label>noneFilter by label.
--limit <n>10Max issues to fetch per poll.
--milestone <milestone>noneFilter by milestone title.
--assignee <assignee>noneFilter by assignee; resolve @me with gh api user --jq .login.
--state <open|closed|all>openIssue state.
--fork <owner/repo>nonePush branches to a fork while PRs target the source repo.
--watchfalseFetch the issue list normally, then schedule recurring issue and review follow-up after the first confirmed run.
--interval <minutes>5Watch interval; only valid with --watch.
--cronfalseRecurring-run mode: process at most one eligible item and exit.
--dry-runfalseFetch and display issues only.
--yesfalseProcess listed issues without another confirmation.
--reviews-onlyfalseSkip issue fetching and process issue-fix PR review feedback.
--model <model>noneOptional model override for delegated tasks.
--notify-channel <target>noneOptional HybridClaw message target for final summaries only.

Derived values:

  • SOURCE_REPO: issue and PR target repository.
  • PUSH_REPO: --fork value, otherwise SOURCE_REPO.
  • PUSH_OWNER: owner portion of PUSH_REPO.
  • PUSH_REMOTE: fork when --fork is used, otherwise origin.
  • FORK_MODE: true when --fork is used.
  • SOURCE_REPO_SLUG: SOURCE_REPO with / replaced by -.

Mode routing:

  • If --reviews-only is set, run authentication, then jump to Phase 6.
  • If --cron is set, force --yes.
  • If --watch is set, use --interval, defaulting to 5 minutes. Do not skip issue fetching or confirmation. The first watch turn follows Phases 2 and 3 like a normal run.

Phase 2 - Authenticate And Fetch Issues

GitHub CLI is preferred but optional. First check whether it exists:

bash
command -v gh

If gh exists, prefer GitHub CLI authentication:

bash
gh auth status

If gh is unavailable or authentication fails, use the GitHub REST API through the http_request tool with bearerSecretName: "GH_TOKEN". The gateway resolves GH_TOKEN from the encrypted secret store; do not ask the shell for GH_TOKEN, do not echo tokens, and do not use curl for authenticated GitHub API calls. If neither gh auth nor stored secret GH_TOKEN works, ask the user to run gh auth login or store a GitHub token in this order: browser admin at /admin/secrets, /secret set GH_TOKEN <token> in browser /chat or TUI, then local console fallback hybridclaw secret set GH_TOKEN <token>.

When not in --reviews-only, fetch issues with a current-turn GitHub data call. Primary gh path:

bash
gh issue list --repo "$SOURCE_REPO" --state "$STATE" --limit "$LIMIT" \
  --json number,title,labels,assignees,url,body

Add optional filters only when present:

  • --label "$LABEL"
  • --milestone "$MILESTONE"
  • --assignee "$ASSIGNEE" after resolving @me

API fallback path with gh still available:

bash
gh api "repos/$SOURCE_REPO/issues" \
  -f state="$STATE" -f per_page="$LIMIT"

API fallback path without gh: call http_request with bearerSecretName: "GH_TOKEN" and the GitHub URL. Example request shape:

json
{
  "method": "GET",
  "url": "https://api.github.com/repos/{SOURCE_REPO}/issues?state={STATE}&per_page={LIMIT}",
  "bearerSecretName": "GH_TOKEN",
  "headers": {
    "Accept": "application/vnd.github+json"
  }
}

Add API query parameters only when present:

  • labels=$LABEL
  • assignee=$ASSIGNEE after resolving @me through GET /user
  • milestone=$MILESTONE_NUMBER; if the user supplied a title, first list milestones and match the title to a number

gh issue list excludes pull requests. API issue endpoints include pull requests, so exclude any item with a pull_request field.

Hard failure rule: if the current turn did not execute a successful gh issue list, GitHub Issues API, or equivalent http_request call, do not display an issue table and do not say no issues matched. Report that live issue fetch did not complete.

If watch context includes PROCESSED_ISSUES, filter those issue numbers out. If no issues match, report that directly and, in watch mode, continue to Phase 6 to check review feedback.

Extract for each issue: number, title, body, label names, assignees, URL.

Phase 3 - Present And Confirm

Display a compact table:

#TitleLabelsAssignees

If fork mode is active, also say that branches will be pushed to PUSH_REPO and PRs will target SOURCE_REPO.

If --dry-run is set, stop after the table. Do not run preflight.

If --yes is set, process every listed issue and proceed to Phase 4.

Otherwise ask:

Which issues should I process: all, a comma-separated list of issue numbers, or cancel?

Wait for the user response. Continue only with selected issue numbers.

Watch behavior: ask on the first interactive poll unless --yes is set. Do not schedule watch follow-up from a parse-only turn. After the user confirms issues or after a --yes run completes, schedule the next run in Watch Mode. Subsequent scheduled runs use --cron --yes.

Phase 4 - Issue Processing Preflight

Run this phase only after selected issue numbers are known. These checks are for delegating fixes, not for issue listing.

  1. Resolve the local checkout.

    Use the current directory if it is a git repo whose origin matches SOURCE_REPO. If the current directory is not a matching checkout, ask the user for the local checkout path before processing. Issue listing does not require a local checkout, but fixing issues does.

  2. Check the working tree.

    bash
    git status --porcelain

    If output is non-empty, explain that delegated fixes should start from a committed state and ask whether to continue. Never stage or commit unrelated changes.

  3. Record the base branch.

    bash
    git rev-parse --abbrev-ref HEAD

    Store as BASE_BRANCH.

  4. Verify remotes.

    bash
    git ls-remote --exit-code origin HEAD

    In fork mode, verify a fork remote exists for PUSH_REPO; add it only if missing, and use the normal GitHub remote URL. Do not write tokens into git config.

  5. Skip issues that already have open PRs from the intended branch owner.

    bash
    gh pr list --repo "$SOURCE_REPO" --state open \
      --head "fix/issue-$ISSUE_NUMBER" \
      --json number,url,headRefName,headRepositoryOwner \
      --jq ".[] | select(.headRepositoryOwner.login == \"$PUSH_OWNER\")"

    If gh is unavailable, use http_request with bearerSecretName: "GH_TOKEN":

    json
    {
      "method": "GET",
      "url": "https://api.github.com/repos/{SOURCE_REPO}/pulls?head={PUSH_OWNER}:fix/issue-{ISSUE_NUMBER}&state=open&per_page=1",
      "bearerSecretName": "GH_TOKEN",
      "headers": {
        "Accept": "application/vnd.github+json"
      }
    }
  6. Skip issues whose intended branch exists in PUSH_REPO.

    bash
    BRANCH_REF="fix%2Fissue-$ISSUE_NUMBER"
    gh api "repos/$PUSH_REPO/branches/$BRANCH_REF" --silent

    If gh is unavailable, use http_request with bearerSecretName: "GH_TOKEN" against: https://api.github.com/repos/{PUSH_REPO}/branches/fix%2Fissue-N.

  7. Track claims for cron/watch dedupe when durable state storage is available.

    Use $HYBRIDCLAW_STATE_DIR/gh-issues when that variable is set, otherwise $HOME/.hybridclaw/data/gh-issues. Create the directory if needed. Store claims in claims.json, creating it as {} if missing. Remove claims older than 2 hours. For each remaining issue, skip if key SOURCE_REPO#ISSUE_NUMBER is claimed. Never write claim or cursor files into the target repository checkout.

If all selected issues are skipped, report why and, in watch mode, continue to Phase 6.

Show full SKILL.md (783 more words)Show less

Phase 5 - Delegate Issue Fixes

Before each delegate call, write or refresh the claim for that issue when the claims file is available. Include enough context for the delegated task to work without reading this orchestration transcript.

Cron mode:

  • Use cursor-SOURCE_REPO_SLUG.json in the same HybridClaw state directory as the claims file.
  • Create it as {"last_processed":null,"in_progress":null} if missing.
  • Select one eligible issue only: not claimed, no open PR, no branch, and after last_processed when possible. Wrap to the first eligible issue if needed.
  • Mark in_progress, delegate one issue, report the spawn, and exit. Do not wait for results.

Normal mode:

  • Use delegate in parallel mode for up to 6 independent issues at a time.
  • If more than 6 issues are selected, process the next batch after the previous batch reports back.
  • Do not sleep or busy-wait.

Delegate task shape:

text
You are a focused issue-fix subagent. Fix exactly one GitHub issue and open a PR.

Repository: {SOURCE_REPO}
Push repository: {PUSH_REPO}
Fork mode: {FORK_MODE}
Push remote: {PUSH_REMOTE}
Base branch: {BASE_BRANCH}
Branch: fix/issue-{NUMBER}
Notification target: {NOTIFY_CHANNEL}

Issue #{NUMBER}: {TITLE}
URL: {URL}
Labels: {LABELS}
Assignees: {ASSIGNEES}
Body:
{BODY}

Workflow:
1. Confirm the issue is actionable. If confidence is below 7/10, stop and
   report why instead of guessing.
2. Create branch `fix/issue-{NUMBER}` from `{BASE_BRANCH}`.
3. Find the smallest relevant code or docs change.
4. Implement only the issue fix.
5. Run targeted tests or explain why no targeted test exists.
6. Stage only your changes and commit with:
   `fix: {SHORT_DESCRIPTION}`

   Include `Fixes {SOURCE_REPO}#{NUMBER}` in the commit body.
7. Push to `{PUSH_REMOTE}` and open a pull request against `{SOURCE_REPO}`.
8. If a notification target is present, send only the final PR summary to that
   target with the message tool; do not send status chatter.
9. Return: PR URL, files changed, tests run, skipped checks, and caveats.

Constraints:
- Do not modify unrelated files.
- Do not force-push.
- Do not commit secrets, local config, or personal data.
- If the working tree contains unrelated changes, leave them untouched.
- If the issue is vague, too large, or not reproducible, return analysis and
  mark it for manual triage instead of opening a speculative PR.

Result collection:

  • In cron mode, skip collection because the orchestrator exits after spawning.
  • In normal mode, collect delegate results and present:
IssueStatusPRNotes

Statuses: PR opened, Skipped, Failed, Timed out, Needs manual review.

Store opened PRs as OPEN_PRS with PR number, branch, URL, and issue number for Phase 6.

If --notify-channel is set, send a final summary only after the batch finishes. Do not include issue bodies, review bodies, tokens, or transcripts.

Phase 6 - PR Review Handler

This phase monitors open issue-fix PRs for actionable review feedback.

It runs:

  • after Phase 5 results, for PRs just opened
  • when --reviews-only is set
  • during watch or cron review runs

Discover PRs:

  • If OPEN_PRS exists from Phase 5, inspect those first.
  • Otherwise list open PRs whose head branch starts with fix/issue-:
bash
gh pr list --repo "$SOURCE_REPO" --state open \
  --json number,title,url,headRefName,body \
  --jq '.[] | select(.headRefName | startswith("fix/issue-"))'

Fetch review sources for each candidate:

bash
gh pr view "$PR_NUMBER" --repo "$SOURCE_REPO" \
  --json number,title,url,body,reviews,comments,reviewDecision
gh api "repos/$SOURCE_REPO/pulls/$PR_NUMBER/comments"
gh api "repos/$SOURCE_REPO/issues/$PR_NUMBER/comments"

Also inspect the PR body for embedded review content such as <!-- greptile_comment --> or structured sections from review bots.

Determine the bot username with:

bash
gh api user --jq .login

Exclude comments authored by that user and comments already answered with addressed-style replies.

Actionable feedback includes:

  • CHANGES_REQUESTED reviews
  • comments asking for concrete changes, tests, error handling, or edge cases
  • comments saying a change will fail, break, or cause an error
  • inline comments identifying code defects
  • embedded review sections that flag critical issues, expected failures, low-confidence concerns, or specific changes needed

Not actionable:

  • approvals, LGTM, thanks, or pure acknowledgements
  • CI summaries without a requested change
  • bot-generated summaries with no concrete request
  • stale comments already addressed

Build ACTIONABLE_COMMENTS with source, author, body, path, line, diff hunk, comment ID, and URL when available.

If no actionable comments are found, report that and stop unless watch mode needs scheduling.

Display a table:

PRBranchActionable CommentsSources

Unless --yes, --cron, or a subsequent scheduled watch run is active, ask which PRs to address: all, comma-separated PR numbers, or skip.

Cron review mode:

  • Process at most one PR with actionable comments.
  • Delegate one review-fix task and exit without waiting.

Normal review mode:

  • Use delegate in parallel mode for up to 6 PRs at a time.

Review delegate task shape:

text
You are a focused PR review-fix subagent. Address actionable review feedback on
one pull request.

Repository: {SOURCE_REPO}
Push repository: {PUSH_REPO}
Push remote: {PUSH_REMOTE}
PR #{PR_NUMBER}: {PR_URL}
Branch: {BRANCH}

Actionable comments:
{COMMENTS}

Workflow:
1. Fetch and checkout `{BRANCH}` from `{PUSH_REMOTE}`.
2. Read every actionable comment and group changes by file.
3. Implement only requested review fixes.
4. Run targeted tests or explain why none apply.
5. Commit with `fix: address review feedback on PR #{PR_NUMBER}`.
6. Push the branch.
7. Reply to addressed comments with a brief summary and commit SHA. For
   unresolved or contradictory comments, reply with the reason and mark manual
   follow-up.
8. Return: comments addressed, comments skipped, commit SHA, files changed,
   tests run, and manual follow-ups.

Constraints:
- Do not force-push.
- Do not rewrite unrelated PR history.
- Do not change files unrelated to the actionable comments.
- If comments conflict, address the newest concrete request and flag the
  conflict.

After review delegates finish, present:

PRComments AddressedComments SkippedCommitStatus

Track addressed comment IDs in ADDRESSED_COMMENTS for watch context.

Watch Mode

HybridClaw must not sleep in the active turn. If --watch is set, use cron to schedule a recurring follow-up prompt using the same repository and filters.

The initial --watch invocation is not a parse-only request. It must fetch the current issue list first, present the table, and either ask for selected issue numbers or honor --yes. Only schedule the recurring follow-up after that first selection/processing path has run.

Use the cron tool for scheduled follow-up. Do not send a local message as a substitute for scheduling. If cron is unavailable or scheduling fails, report that watch scheduling failed.

The scheduled prompt must include:

  • SOURCE_REPO, PUSH_REPO, FORK_MODE, PUSH_REMOTE
  • filters: label, milestone, assignee, state, limit
  • --cron --yes
  • --reviews-only when the run should only monitor review feedback
  • compact state: PROCESSED_ISSUES, ADDRESSED_COMMENTS, OPEN_PRS, cumulative one-line results, and BASE_BRANCH when known

The scheduled prompt must not include:

  • issue bodies
  • review bodies
  • tokens
  • subagent transcripts
  • raw command output containing secrets

If a watch run finds no issue work, still run Phase 6. If no issue or review work exists, report "No eligible issue or review work found" and let the next scheduled run handle future polling.

Safety Rules

  • Keep branches scoped to one issue or one PR review batch.
  • Prefer targeted validation over full-suite runs unless the touched area is broad.
  • Never hide skipped checks; include them in summaries.
  • Never weaken repository security policy, approval rules, branch protection, or CI configuration to make an issue easier to close.
  • Do not print or store tokens. Do not put tokens into git remotes.
  • If the issue is vague, too large, or not reproducible, report analysis and leave it for manual triage instead of opening a speculative PR.

© HybridAIOne, 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/gh-issues of HybridAIOne/hybridclaw.

Open the folder on GitHubat commit 3624072

Compare with similar skills

Gh Issues 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.

Gh Issues compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gh Issues this skillHybridAIOne/hybridclaw158—~4.7kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
Contributor-First PR MergeHKUDS/OpenHarness16k1 repos~847Automated safety check: PassMIT
Create Pull Requestcline/cline70k1 repos~1.6kAutomated safety check: PassApache-2.0
Pull Request Title and Body Writeropeninterpreter/openinterpreter69k2 repos~1.1kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Gh Issues

What does Gh Issues do?

Process GitHub issues as an automation queue: /gh-issues lists and filters issues, confirms selected issue numbers, deduplicates fix/issue- work, delegates one focused PR per issue, and can monitor…. Gh Issues is an agent skill from HybridAIOne/hybridclaw. Process GitHub issues as an automation queue: /gh-issues lists and filters issues, confirms selected issue numbers, deduplicates fix/issue- work, delegates one focused PR per issue, and can monitor issue-fix PR review feedback.

When should I use Gh Issues?

Gh Issues fits situations like: tasks that involve Pull requests.

How do I install Gh Issues in Claude Code?

Run `npx skills add HybridAIOne/hybridclaw --skill gh-issues -a claude-code`. Or copy the skill folder (skills/gh-issues in HybridAIOne/hybridclaw) into .claude/skills/gh-issues in your project. Claude Code loads it when a task matches its description.

How do I install Gh Issues in Codex?

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

Can I use Gh Issues 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 HybridAIOne/hybridclaw --skill gh-issues -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gh-issues, .gemini/skills/gh-issues, .github/skills/gh-issues and .opencode/skills/gh-issues in your project.

What does Gh Issues need to run?

Going by SKILL.md and its folder, Gh Issues needs the command-line tools its instructions call (gh and git) and credentials named GH_TOKEN.

Does Gh Issues access the network?

SKILL.md names 1 domain. In commands or code: api.github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Gh Issues 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 Gh Issues use?

Gh Issues 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 Gh Issues use?

About 4.7k tokens (SKILL.md is roughly 19k 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 Gh Issues?

Skills that share tags, products or a category with Gh Issues: 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.

Who maintains Gh Issues?

HybridAIOne (a GitHub organization) maintains it in HybridAIOne/hybridclaw, which has 158 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on October 9, 2026.

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