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terrylica/cc-skills125 installs

issue-create

Create well-formatted GitHub issues with AI label suggestions: bug reports, feature requests, questions, docs issues. TRIGGERS - file an issue, create an issue, gh issue create.

How do I install this agent skill?

npx skills add https://github.com/terrylica/cc-skills --skill issue-create
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill is generally safe but is vulnerable to indirect prompt injection because it processes user-provided issue content using AI models without sufficient boundary markers or sanitization. It also includes instructions for the agent to modify its own skill file to 'evolve', which could allow unintended persistence of instructions.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerwarn

    1/5 files flagged

What does this agent skill do?

Issue Create Skill

Create well-formatted GitHub issues with intelligent automation including AI-powered label suggestions, content type detection, template formatting, and related issue linking.

Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

When to Use This Skill

Use this skill when:

  • Creating bug reports, feature requests, questions, or documentation issues
  • Need AI-powered label suggestions from repository's existing taxonomy
  • Want automatic duplicate detection and related issue linking
  • Need consistent issue formatting across different repositories

Invocation

Slash command: /gh-tools:issue-create

Natural language triggers:

  • "Create an issue about..."
  • "File a bug for..."
  • "Submit a feature request..."
  • "Report this problem to..."
  • "Post an issue on GitHub..."

Features

1. Repository Detection

  • Auto-detects repository from current git directory
  • Supports explicit --repo owner/repo flag
  • Checks permissions before attempting to create

2. Content Type Detection

  • AI-powered detection (gpt-4.1 via gh-models)
  • Fallback to keyword matching
  • Types: Bug, Feature, Question, Documentation

3. Title Extraction

  • Extracts informative title from content
  • Adds type prefix (Bug:, Feature:, etc.)
  • Maximizes GitHub's 256-character limit for informative titles

4. Body Limit Maximization (65,536 Characters)

GitHub issue bodies support 65,536 characters (not bytes — UTF-8 multibyte characters count as 1). Always aim to fill a single post rather than splitting across multiple issues or comments.

Principle: One comprehensive post is more valuable than many fragmented ones. Pack as much analysis, context, history, and multi-perspective reasoning as possible into a single issue body or comment.

When composing long-form issue content:

  • Check remaining capacity: echo "$BODY" | wc -m (characters, not bytes)
  • Target ~60,000 chars to leave headroom for GFM rendering edge cases
  • Use collapsible sections (<details><summary>) for dense reference material — they don't reduce the char budget but improve readability
  • Include all perspectives: if the issue documents a decision, include the alternatives considered, trade-offs, evidence for/against, and why the chosen path won
  • Embed historical context: timelines, prior art, links to related issues, session provenance — all belong in one post
  • Never pre-emptively split: only split if you genuinely exceed 65,536 chars (rare)

Pre-post size check pattern:

# Build body, then verify it fits
BODY=$(cat <<'EOF'
... your content ...
EOF
)
CHARS=$(echo "$BODY" | wc -m | tr -d ' ')
echo "Body size: ${CHARS}/65536 chars"
if [ "$CHARS" -gt 65536 ]; then
  echo "WARNING: Exceeds limit by $((CHARS - 65536)) chars — trim or split"
fi

5. Template Formatting

  • Auto-selects template based on content type
  • Bug: Steps to reproduce, Expected/Actual behavior
  • Feature: Use case, Proposed solution
  • Question: Context, What was tried
  • Documentation: Location, Suggested change

5. Label Suggestion

  • Fetches repository's existing labels
  • AI suggests 2-4 relevant labels
  • Only suggests labels that exist (taxonomy-aware)
  • 24-hour cache for performance

6. Related Issues

  • Searches for similar issues
  • Links related issues in body
  • Warns about potential duplicates

7. Preview & Confirm

  • Full preview before creation
  • Dry-run mode available
  • Edit option for modifications

Usage Examples

Basic Usage

# From within a git repository
bun ~/eon/cc-skills/plugins/gh-tools/scripts/issue-create.ts \
  --body "Login page crashes when using special characters in password"

With Explicit Repository

bun ~/eon/cc-skills/plugins/gh-tools/scripts/issue-create.ts \
  --repo owner/repo \
  --body "Feature: Add dark mode support for better accessibility"

Dry Run (Preview Only)

bun ~/eon/cc-skills/plugins/gh-tools/scripts/issue-create.ts \
  --repo owner/repo \
  --body "Bug: API returns 500 error" \
  --dry-run

With Custom Title and Labels

bun ~/eon/cc-skills/plugins/gh-tools/scripts/issue-create.ts \
  --repo owner/repo \
  --title "Bug: Login fails with OAuth" \
  --body "Detailed description..." \
  --labels "bug,authentication"

Disable AI Features

bun ~/eon/cc-skills/plugins/gh-tools/scripts/issue-create.ts \
  --body "Question: How to configure..." \
  --no-ai

CLI Options

OptionShortDescription
--repo-rRepository in owner/repo format
--body-bIssue body content (required)
--title-tIssue title (optional)
--labels-lComma-separated labels
--dry-runPreview without creating
--no-aiDisable AI features
--verbose-vEnable verbose output
--help-hShow help

Dependencies

  • gh CLI (required) - GitHub CLI tool
  • gh-models extension (optional) - Enables AI features

Installing gh-models

gh extension install github/gh-models

Permission Handling

LevelBehavior
WRITE/ADMINFull functionality
TRIAGECan apply labels
READShows formatted content for manual copy
NONESuggests fork workflow

Logging

Logs to: ~/.claude/logs/gh-issue-create.jsonl

Events logged:

  • preflight - Initial checks
  • type_detected - Content type detection
  • labels_suggested - Label suggestions
  • related_found - Related issues search
  • issue_created - Successful creation
  • dry_run - Dry run completion

Related Documentation

Embedding Images in Issues

GitHub Issues have no API for programmatic image upload. The web UI's drag-and-drop uses an internal S3 policy flow that is intentionally not exposed to API clients (cli/cli#1895).

Preflight: Ensure Images Are Reachable

The ?raw=true URL resolves via github.com — if the image doesn't exist at that path on the remote, it silently 404s (broken image, no error). Run this preflight before creating the issue:

# 1. Detect repo context
OWNER_REPO=$(gh repo view --json nameWithOwner -q '.nameWithOwner')
BRANCH=$(git rev-parse --abbrev-ref HEAD)
VISIBILITY=$(gh repo view --json visibility -q '.visibility')

# 2. Verify images are git-tracked (not gitignored)
IMG_DIR="path/to/images"
for f in ${IMG_DIR}/*.png; do
  git ls-files --error-unmatch "$f" >/dev/null 2>&1 \
    || echo "WARNING: $f is NOT tracked by git (check .gitignore)"
done

# 3. Verify images are committed (not just staged or untracked)
UNCOMMITTED=$(git diff --name-only HEAD -- "${IMG_DIR}/" 2>/dev/null)
UNTRACKED=$(git ls-files --others --exclude-standard -- "${IMG_DIR}/" 2>/dev/null)
if [[ -n "$UNCOMMITTED" || -n "$UNTRACKED" ]]; then
  echo "FAIL: Images not committed — commit and push first"
  echo "  Uncommitted: ${UNCOMMITTED}"
  echo "  Untracked:   ${UNTRACKED}"
  exit 1
fi

# 4. Verify commit is pushed to remote (local commits invisible to github.com)
LOCAL_SHA=$(git rev-parse HEAD)
REMOTE_SHA=$(git rev-parse "origin/${BRANCH}" 2>/dev/null)
if [[ "$LOCAL_SHA" != "$REMOTE_SHA" ]]; then
  echo "FAIL: Local commits not pushed — run: git push origin ${BRANCH}"
  exit 1
fi

# 5. Build image base URL
IMG_BASE="https://github.com/${OWNER_REPO}/blob/${BRANCH}/${IMG_DIR}"
echo "Image base URL: ${IMG_BASE}/<filename>.png?raw=true"
echo "Repo visibility: ${VISIBILITY}"
if [[ "$VISIBILITY" == "PRIVATE" ]]; then
  echo "NOTE: Images only visible to authenticated collaborators"
fi

Preflight checklist (what each step catches):

StepCheckFailure Mode
1Repo context existsNo OWNER_REPO to build URLs
2Images are git-tracked.gitignore silently excludes them
3Images are committedStaged/untracked files don't exist on remote
4Commit is pushedLocal-only commits are invisible to github.com
5URL constructionWrong branch name → 404

URL Format: ?raw=true vs raw.githubusercontent.com

For images already committed and pushed, use github.com/blob/...?raw=true URLs — not raw.githubusercontent.com:

<!-- BROKEN for private repos (no browser cookies on raw.githubusercontent.com) -->

![img](https://raw.githubusercontent.com/owner/repo/main/path/image.png)

<!-- WORKING for all repos (browser has cookies on github.com, gets signed redirect) -->

![img](https://github.com/owner/repo/blob/main/path/image.png?raw=true)

Scripting pattern (batch images → issue body):

IMG_BASE="https://github.com/${OWNER_REPO}/blob/${BRANCH}/${IMG_DIR}"

gh issue create --title "Feedback with screenshots" --body "$(cat <<EOF
## Item 1
![description](${IMG_BASE}/01-screenshot.png?raw=true)

## Item 2
![description](${IMG_BASE}/02-screenshot.png?raw=true)
EOF
)"

See AP-07 in GFM Anti-Patterns for the full technical explanation.

Images NOT in the Repository

For images only on disk (not committed), four options:

MethodHowPermanent?Preflight?
Commit + push firstgit add images, push, run preflight, then use ?raw=true URLsYes (repo-hosted)Yes (5-step)
Web UI pasteOpen issue in browser, Ctrl/Cmd+V images into comment boxYes (user-attachments CDN)None
Web UI drag-and-dropDrag image files into the comment boxYes (user-attachments CDN)None
Playwright automationScript automates the browser file-attachment flowYes (user-attachments CDN)None

Playwright Automation (Programmatic CDN Upload)

GitHub has no API for image uploads, but the browser's file-attachment flow can be automated via Playwright to get permanent user-attachments CDN URLs without any commit/push preflight.

How it works:

  1. Playwright opens the issue page in Chromium with a persistent profile (~/.claude/tools/pw-github-profile/)
  2. First run only: user logs in to GitHub (any method — Google SSO, passkey, password). Cookies persist.
  3. Script clicks "Paste, drop, or click to add files" → intercepts the file chooser → sets the image file
  4. GitHub uploads to its S3 backend and inserts an <img> tag with a user-attachments CDN URL into the comment textarea
  5. Script extracts the CDN URL and clears the textarea (no comment is actually posted)

Key implementation details (GitHub's 2026 React comment composer):

  • Comment textarea selector: textarea[placeholder="Use Markdown to format your comment"] (dynamic React IDs — do NOT match by id)
  • File upload trigger: click the "Paste, drop, or click to add files" text, then intercept page.waitForEvent("filechooser")
  • Upload result format: <img width="W" height="H" alt="Image" src="https://github.com/user-attachments/assets/UUID" /> (HTML <img> tag, not ![](...) markdown)
  • Old textarea#new_comment_field and file-attachment input[type='file'] selectors no longer exist
  • Batch uploads: clear textarea between uploads with textarea.fill("")

Chrome CDP note: chromium.connectOverCDP() fails with Chrome 136+ (WebSocket timeout). Use chromium.launchPersistentContext() with Playwright's bundled Chromium instead. Chrome 136+ also requires --user-data-dir for CDP (DevTools remote debugging requires a non-default data directory), making CDP impractical for reusing existing browser sessions.


Troubleshooting

"No repository context"

Run from a git directory or use --repo owner/repo flag.

Labels not suggested

  • Check if gh-models is installed: gh extension list
  • Verify repository has labels: gh label list --repo owner/repo
  • Check label cache: ls ~/.cache/gh-issue-skill/labels/

AI features not working

Install gh-models extension:

gh extension install github/gh-models

Post-Execution Reflection

After this skill completes, check before closing:

  1. Did the command succeed? — If not, fix the instruction or error table that caused the failure.
  2. Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
  3. Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.

Only update if the issue is real and reproducible — not speculative.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/terrylica/cc-skills/issue-create">View issue-create on skillZs</a>