gh-issues

steipete/clawdis · updated Apr 8, 2026

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$npx skills add https://github.com/steipete/clawdis --skill gh-issues
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summary

You are an orchestrator. Follow these 6 phases exactly. Do not skip phases.

skill.md

gh-issues — Auto-fix GitHub Issues with Parallel Sub-agents

You are an orchestrator. Follow these 6 phases exactly. Do not skip phases.

IMPORTANT — No gh CLI dependency. This skill uses curl + the GitHub REST API exclusively. The GH_TOKEN env var is already injected by OpenClaw. Pass it as a Bearer token in all API calls:

curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" ...

Phase 1 — Parse Arguments

Parse the arguments string provided after /gh-issues.

Positional:

  • owner/repo — optional. This is the source repo to fetch issues from. If omitted, detect from the current git remote: git remote get-url origin Extract owner/repo from the URL (handles both HTTPS and SSH formats).

Flags (all optional):

Flag Default Description
--label (none) Filter by label (e.g. bug, enhancement)
--limit 10 Max issues to fetch per poll
--milestone (none) Filter by milestone title
--assignee (none) Filter by assignee (@me for self)
--state open Issue state: open, closed, all
--fork (none) Your fork (user/repo) to push branches and open PRs from. Issues are fetched from the source repo; code is pushed to the fork; PRs are opened from the fork to the source repo.
--watch false Keep polling for new issues and PR reviews after each batch
--interval 5 Minutes between polls (only with --watch)
--dry-run false Fetch and display only — no sub-agents
--yes false Skip confirmation and auto-process all filtered issues
--reviews-only false Skip issue processing (Phases 2-5). Only run Phase 6 — check open PRs for review comments and address them.
--cron false Cron-safe mode: fetch issues and spawn sub-agents, exit without waiting for results.
--model (none) Model to use for sub-agents (e.g. glm-5, zai/glm-5). If not specified, uses the agent's default model.
--notify-channel (none) Telegram channel ID to send final PR summary to (e.g. -1002381931352). Only the final result with PR links is sent, not status updates.

Store parsed values for use in subsequent phases.

Derived values:

  • SOURCE_REPO = the positional owner/repo (where issues live)
  • PUSH_REPO = --fork value if provided, otherwise same as SOURCE_REPO
  • FORK_MODE = true if --fork was provided, false otherwise

If --reviews-only is set: Skip directly to Phase 6. Run token resolution (from Phase 2) first, then jump to Phase 6.

If --cron is set:

  • Force --yes (skip confirmation)
  • If --reviews-only is also set, run token resolution then jump to Phase 6 (cron review mode)
  • Otherwise, proceed normally through Phases 2-5 with cron-mode behavior active

Phase 2 — Fetch Issues

Token Resolution: First, ensure GH_TOKEN is available. Check environment:

echo $GH_TOKEN

If empty, read from config:

CONFIG_PATH="${OPENCLAW_CONFIG_PATH:-${OPENCLAW_STATE_DIR:-$HOME/.openclaw}/openclaw.json}"
cat "$CONFIG_PATH" | jq -r '.skills.entries["gh-issues"].apiKey // empty'

If still empty, check /data/.clawdbot/openclaw.json:

cat /data/.clawdbot/openclaw.json | jq -r '.skills.entries["gh-issues"].apiKey // empty'

Export as GH_TOKEN for subsequent commands:

export GH_TOKEN="<token>"

Build and run a curl request to the GitHub Issues API via exec:

curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" \
  "https://api.github.com/repos/{SOURCE_REPO}/issues?per_page={limit}&state={state}&{query_params}"

Where {query_params} is built from:

  • labels={label} if --label was provided
  • milestone={milestone} if --milestone was provided (note: API expects milestone number, so if user provides a title, first resolve it via GET /repos/{SOURCE_REPO}/milestones and match by title)
  • assignee={assignee} if --assignee was provided (if @me, first resolve your username via GET /user)

IMPORTANT: The GitHub Issues API also returns pull requests. Filter them out — exclude any item where pull_request key exists in the response object.

If in watch mode: Also filter out any issue numbers already in the PROCESSED_ISSUES set from previous batches.

Error handling:

  • If curl returns an HTTP 401 or 403 → stop and tell the user:

    "GitHub authentication failed. Please check your apiKey in the OpenClaw dashboard or in the active OpenClaw config path ($OPENCLAW_CONFIG_PATH, default ~/.openclaw/openclaw.json) under skills.entries.gh-issues."

  • If the response is an empty array (after filtering) → report "No issues found matching filters" and stop (or loop back if in watch mode).
  • If curl fails or returns any other error → report the error verbatim and stop.

Parse the JSON response. For each issue, extract: number, title, body, labels (array of label names), assignees, html_url.


Phase 3 — Present & Confirm

Display a markdown table of fetched issues:

# Title Labels
42 Fix null pointer in parser bug, critical
37 Add retry logic for API calls enhancement

If FORK_MODE is active, also display:

"Fork mode: branches will be pushed to {PUSH_REPO}, PRs will target {SOURCE_REPO}"

If --dry-run is active:

  • Display the table and stop. Do not proceed to Phase 4.

If --yes is active:

  • Display the table for visibility
  • Auto-process ALL listed issues without asking for confirmation
  • Proceed directly to Phase 4

Otherwise: Ask the user to confirm which issues to process:

  • "all" — process every listed issue
  • Comma-separated numbers (e.g. 42, 37) — process only those
  • "cancel" — abort entirely

Wait for user response before proceeding.

Watch mode note: On the first poll, always confirm with the user (unless --yes is set). On subsequent polls, auto-process all new issues without re-confirming (the user already opted in). Still display the table so they can see what's being processed.


Phase 4 — Pre-flight Checks

Run these checks sequentially via exec:

  1. Dirty working tree check:

    git status --porcelain
    

    If output is non-empty, warn the user:

    "Working tree has uncommitted changes. Sub-agents will create branches from HEAD — uncommitted changes will NOT be included. Continue?" Wait for confirmation. If declined, stop.

  2. Record base branch:

    git rev-parse --abbrev-ref HEAD
    

    Store as BASE_BRANCH.

  3. Verify remote access: If FORK_MODE:

    • Verify the fork remote exists. Check if a git remote named fork exists:
      git remote get-url fork
      
      If it doesn't exist, add it:
      git remote add fork https://x-access-token:[email protected]/{PUSH_REPO}.git
      
    • Also verify origin (the source repo) is reachable:
      git ls-remote --exit-code origin HEAD
      

    If not FORK_MODE:

    git ls-remote --exit-code origin HEAD
    

    If this fails, stop with: "Cannot reach remote origin. Check your network and git config."

  4. Verify GH_TOKEN validity:

    curl -s -o /dev/null -w "%{http_code}" -H "Authorization: Bearer $GH_TOKEN" https://api.github.com/user
    

    If HTTP status is not 200, stop with:

    "GitHub authentication failed. Please check your apiKey in the OpenClaw dashboard or in the active OpenClaw config path ($OPENCLAW_CONFIG_PATH, default ~/.openclaw/openclaw.json) under skills.entries.gh-issues."

  5. Check for existing PRs: For each confirmed issue number N, run:

    curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" \
      "https://api.github.com/repos/{SOURCE_REPO}/pulls?head={PUSH_REPO_OWNER}:fix/issue-{N}&state=open&per_page=1"
    

    (Where PUSH_REPO_OWNER is the owner portion of PUSH_REPO) If the response array is non-empty, remove that issue from the processing list and report:

    "Skipping #{N} — PR already exists: {html_url}"

    If all issues are skipped, report and stop (or loop back if in watch mode).

  6. Check for in-progress branches (no PR yet = sub-agent still working): For each remaining issue number N (not already skipped by the PR check above), check if a fix/issue-{N} branch exists on the push repo (which may be a fork, not origin):

    curl -s -o /dev/null -w "%{http_code}" \
      -H "Authorization: Bearer $GH_TOKEN" \
      "https://api.github.com/repos/{PUSH_REPO}/branches/fix/issue-{N}"
    

    If HTTP 200 → the branch exists on the push repo but no open PR was found for it in step 5. Skip that issue:

    "Skipping #{N} — branch fix/issue-{N} exists on {PUSH_REPO}, fix likely in progress"

    This check uses the GitHub API instead of git ls-remote so it works correctly in fork mode (where branches are pushed to the fork, not origin).

    If all issues are skipped after this check, report and stop (or loop back if in watch mode).

  7. Check claim-based in-progress tracking: This prevents duplicate processing when a sub-agent from a previous cron run is still working but hasn't pushed a branch or opened a PR yet.

    Read the claims file (create empty {} if missing):

    CLAIMS_FILE="/data/.clawdbot/gh-issues-claims.json"
    if [ ! -f "$CLAIMS_FILE" ]; then
      mkdir -p /data/.clawdbot
      echo '{}' > "$CLAIMS_FILE"
    fi
    

    Parse the claims file. For each entry, check if the claim timestamp is older than 2 hours. If so, remove it (expired — the sub-agent likely finished or failed silently). Write back the cleaned file:

    CLAIMS=$(cat "$CLAIMS_FILE")
    CUTOFF=$(date -u -d '2 hours ago' +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u -v-2H +%Y-%m-%dT%H:%M:%SZ)
    CLAIMS=$(echo "$CLAIMS" | jq --arg cutoff "$CUTOFF" 'to_entries | map(select(.value > $cutoff)) | from_entries')
    echo "$CLAIMS" > "$CLAIMS_FILE"
    

    For each remaining issue number N (not already skipped by steps 5 or 6), check if {SOURCE_REPO}#{N} exists as a key in the claims file.

    If claimed and not expired → skip:

    "Skipping #{N} — sub-agent claimed this issue {minutes}m ago, still within timeout window"

    Where {minutes} is calculated from the claim timestamp to now.

    If all issues are skipped after this check, report and stop (or loop back if in watch mode).


Phase 5 — Spawn Sub-agents (Parallel)

Cron mode (--cron is active):

  • Sequential cursor tracking: Use a cursor file to track which issue to process next:

    CURSOR_FILE="/data/.clawdbot/gh-issues-cursor-{SOURCE_REPO_SLUG}.json"
    # SOURCE_REPO_SLUG = owner-repo with slashes replaced by hyphens (e.g., openclaw-openclaw)
    

    Read the cursor file (create if missing):

    if [ ! -f "$CURSOR_FILE" ]; then
      echo '{"last_processed": null, "in_progress": null}' > "$CURSOR_FILE"
    fi
    
    • last_processed: issue number of the last completed issue (or null if none)
    • in_progress: issue number currently being processed (or null)
  • Select next issue: Filter the fetched issues list to find the first issue where:

    • Issue number > last_processed (if last_processed is set)
    • AND issue is not in the claims file (not already in progress)
    • AND no PR exists for the issue (checked in Phase 4 step 5)
    • AND no branch exists on the push repo (checked in Phase 4 step 6)
  • If no eligible issue is found after the last_processed cursor, wrap around to the beginning (start from the oldest eligible issue).

  • If an eligible issue is found:

    1. Mark it as in_progress in the cursor file
    2. Spawn a single sub-agent for that one issue with cleanup: "keep" and runTimeoutSeconds: 3600
    3. If --model was provided, include model: "{MODEL}" in the spawn config
    4. If --notify-channel was provided, include the channel in the task so the sub-agent can notify
    5. Do NOT await the sub-agent result — fire and forget
    6. Write claim: After spawning, read the claims file, add {SOURCE_REPO}#{N} with the current ISO timestamp, and write it back
    7. Immediately report: "Spawned fix agent for #{N} — will create PR when complete"
    8. Exit the skill. Do not proceed to Results Collection or Phase 6.
  • If no eligible issue is found (all issues either have PRs, have branches, or are in progress), report "No eligible issues to process — all issues have PRs/branches or are in progress" and exit.

Normal mode (--cron is NOT active): For each confirmed issue, spawn a sub-agent using sessions_spawn. Launch up to 8 concurrently (matching subagents.maxConcurrent: 8). If more than 8 issues, batch them — launch the next agent as each completes.

Write claims: After spawning each sub-agent, read the claims file, add {SOURCE_REPO}#{N} with the current ISO timestamp, and write it back (same procedure as cron mode above). This covers interactive usage where watch mode might overlap with cron runs.

Sub-agent Task Prompt

For each issue, construct the following prompt and pass it to sessions_spawn. Variables to inject into the template:

  • {SOURCE_REPO} — upstream repo where the issue lives
  • {PUSH_REPO} — repo to push branches to (same as SOURCE_REPO unless fork mode)
  • {FORK_MODE} — true/false
  • {PUSH_REMOTE} — fork if FORK_MODE, otherwise origin
  • {number}, {title}, {url}, {labels}, {body} — from the issue
  • {BASE_BRANCH} — from Phase 4
  • {notify_channel} — Telegram channel ID for notifications (empty if not set). Replace {notify_channel} in the template below with the value of --notify-channel flag (or leave as empty string if not provided).

When constructing the task, replace all template variables including {notify_channel} with actual values.

You are a focused code-fix agent. Your task is to fix a single GitHub issue and open a PR.

IMPORTANT: Do NOT use the gh CLI — it is not installed. Use curl with the GitHub REST API for all GitHub operations.

First, ensure GH_TOKEN is set. Check: `echo $GH_TOKEN`. If empty, read from config:
CONFIG_PATH="${OPENCLAW_CONFIG_PATH:-${OPENCLAW_STATE_DIR:-$HOME/.openclaw}/openclaw.json}"
GH_TOKEN=$(cat "$CONFIG_PATH" 2>/dev/null | jq -r '.skills.entries["gh-issues"].apiKey // empty') || GH_TOKEN=$(cat /data/.clawdbot/openclaw.json 2>/dev/null | jq -r '.skills.entries["gh-issues"].apiKey // empty')

Use the token in all GitHub API calls:
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" ...

<config>
Source repo (issues): {SOURCE_REPO}
Push repo (branches + PRs): {PUSH_REPO}
Fork mode: {FORK_MODE}
Push remote name: {PUSH_REMOTE}
Base branch: {BASE_BRANCH}
Notify channel: {notify_channel}
</config>

<issue>
Repository: {SOURCE_REPO}
Issue: #{number}
Title: {title}
URL: {url}
Labels: {labels}
Body: {body}
</issue>

<instructions>
Follow these steps in order. If any step fails, report the failure and stop.

0. SETUP — Ensure GH_TOKEN is available:

export GH_TOKEN=$(node -e "const fs=require('fs'); const c=JSON.parse(fs.readFileSync('/data/.clawdbot/openclaw.json','utf8')); console.log(c.skills?.entries?.['gh-issues']?.apiKey || '')")

If that fails, also try:

export CONFIG_PATH="${OPENCLAW_CONFIG_PATH:-${OPENCLAW_STATE_DIR:-$HOME/.openclaw}/openclaw.json}" export GH_TOKEN=$(cat "$CONFIG_PATH" 2>/dev/null | node -e "const fs=require('fs');const d=JSON.parse(fs.readFileSync(0,'utf8'));console.log(d.skills?.entries?.['gh-issues']?.apiKey||'')")

Verify: echo "Token: ${GH_TOKEN:0:10}..."

1. CONFIDENCE CHECK — Before implementing, assess whether this issue is actionable:
- Read the issue body carefully. Is the problem clearly described?
- Search the codebase (grep/find) for the relevant code. Can you locate it?
- Is the scope reasonable? (single file/function = good, whole subsystem = bad)
- Is a specific fix suggested or is it a vague complaint?

Rate your confidence (1-10). If confidence < 7, STOP and report:
> "Skipping #{number}: Low confidence (score: N/10) — [reason: vague requirements | cannot locate code | scope too large | no clear fix suggested]"

Only proceed if confidence >= 7.

1. UNDERSTAND — Read the issue carefully. Identify what needs to change and where.

2. BRANCH — Create a feature branch from the base branch:
git checkout -b fix/issue-{number} {BASE_BRANCH}

3. ANALYZE — Search the codebase to find relevant files:
- Use grep/find via exec to locate code related to the issue
- Read the relevant files to understand the current behavior
- Identify the root cause

4. IMPLEMENT — Make the minimal, focused fix:
- Follow existing code style and conventions
- Change only what is necessary to fix the issue
- Do not add unrelat
how to use gh-issues

How to use gh-issues on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add gh-issues
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/steipete/clawdis --skill gh-issues

The skills CLI fetches gh-issues from GitHub repository steipete/clawdis and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/gh-issues

Reload or restart Cursor to activate gh-issues. Access the skill through slash commands (e.g., /gh-issues) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.530 reviews
  • Ganesh Mohane· Dec 28, 2024

    gh-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Benjamin Gonzalez· Dec 16, 2024

    Useful defaults in gh-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Rahul Santra· Nov 19, 2024

    Useful defaults in gh-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Michael Rao· Nov 7, 2024

    gh-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Benjamin Bhatia· Oct 26, 2024

    gh-issues reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Pratham Ware· Oct 10, 2024

    Registry listing for gh-issues matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kiara Abebe· Sep 21, 2024

    Keeps context tight: gh-issues is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Maya Choi· Sep 17, 2024

    Solid pick for teams standardizing on skills: gh-issues is focused, and the summary matches what you get after install.

  • Mia Sethi· Sep 9, 2024

    I recommend gh-issues for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Henry Bansal· Aug 28, 2024

    Solid pick for teams standardizing on skills: gh-issues is focused, and the summary matches what you get after install.

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