github-scanning
Provides search query patterns for agents to filter and collect GitHub issues, PRs, and discussions.
Install
mkdir -p .claude/skills/github-scanning && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/10197" && unzip -o skill.zip -d .claude/skills/github-scanning && rm skill.zipInstalls to .claude/skills/github-scanning
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
GitHub data collection patterns for workflow agents. Covers search query construction by intent, date range handling, repository scope narrowing, preferences.md integration, cross-repo intelligence, parallel stream collection model, and auto-recovery for empty results. Use when building agents that search GitHub for issues, PRs, discussions, releases, security alerts, or CI status.Key capabilities
- →Search issues and PRs
- →Filter by date and scope
- →Apply preferences from preferences.md
- →Handle cross-repo intelligence
- →Execute parallel collection
How it works
It uses standardized search query patterns and parallel collection streams to gather and filter GitHub data based on user preferences.
Inputs & outputs
When to use github-scanning
- →Search assigned issues
- →Filter open pull requests
- →Find mentioned discussions
- →Track release activity
About this skill
GitHub Scanning
Search Query Patterns by Intent
Issues
| Intent | Query Pattern | Scope |
|---|---|---|
| Assigned to you | is:open assignee:USERNAME | All repos |
| You were @mentioned | is:open mentions:USERNAME | All repos |
| Authored by you | is:open author:USERNAME | All repos |
| Specific repo | repo:owner/repo is:open | Single repo |
| By keyword | {keyword} is:open | All repos |
| Org-wide | org:ORGNAME is:open | Org repos |
| Closed (for recap) | is:closed author:USERNAME | All repos |
Pull Requests
| Intent | Query Pattern | Scope |
|---|---|---|
| Awaiting your review | review-requested:USERNAME state:open | All repos |
| Your open PRs | author:USERNAME state:open | All repos |
| Assigned to you | assignee:USERNAME state:open | All repos |
| You reviewed, check for updates | reviewed-by:USERNAME state:open | All repos |
| Specific PR | Fetch directly with owner, repo, number | Single repo |
| Org-wide | org:ORGNAME state:open | Org repos |
Discussions
| Intent | Action |
|---|---|
| You're mentioned | Search with mentions:USERNAME |
| You're participating | Search discussions you've commented on |
| High activity | Filter for 10+ comments in last 24h |
| Linked to your issues | Scan description/comments for issue references |
Releases
- Use
github_list_releasesper repo — check for recent, draft, and pre-releases. - Cross-reference merged PRs against release notes to identify unreleased work.
- Compare issue milestones against release schedules to flag upcoming deadline items.
Security
- Dependabot alerts: critical and high severity across monitored repos.
- Security advisories affecting dependencies.
- Pending dependency update PRs from
dependabot[bot]orrenovate[bot].
CI/CD
- Fetch recent workflow runs — identify failing workflows, long jobs, and flaky tests.
- For failing workflows: note repo, workflow name, branch, failure reason, and link to run.
- Cross-reference user's open PRs against CI results.
Date Range Handling
Convert natural language to GitHub query qualifiers:
| User Says | GitHub Qualifier |
|---|---|
| "last week" | created:>YYYY-MM-DD (7 days ago) |
| "this month" | created:>YYYY-MM-01 |
| "today" | closed:YYYY-MM-DD |
| "this week" | closed:>YYYY-MM-DD (7 days ago) |
| "between X and Y" | created:X..Y |
| Not specified | Use search.default_window from preferences (default: updated:>YYYY-MM-DD 30 days) — mention this assumption |
| "for current month" (a11y tracker) | milestone:"{Month} {Year}" |
Scope Narrowing
Add qualifiers to narrow by scope when the user specifies one:
| Scope | Qualifier |
|---|---|
| Single repo | repo:owner/name |
| All org repos | org:orgname |
| All repos by user | user:username |
| Everything (default) | No qualifier — searches all accessible repos |
Preferences File Integration
Read .github/agents/preferences.md and apply these filters before and after searching:
repos.discovery— determines the default search scope (all / starred / owned / configured / workspace).repos.include— always include these repos even in restricted modes.repos.exclude— skip these repos in all searches.repos.overrides— per-repo settings:track.issues: false→ skip issue searches for this repotrack.pull_requests: false→ skip PR searches for this repotrack.discussions: false→ skip discussions for this repotrack.releases: false→ skip release checks for this repotrack.security: false→ skip security alerts for this repotrack.ci: false→ skip CI status for this repolabels.include/labels.exclude→ filter results by labelpaths→ only trigger for changes touching these file paths (for PRs/CI)assignees→ filter to specific assignees (empty = all)
search.default_window— default time range if the user doesn't specify one.briefing.sections— which sections to include in the daily briefing.accessibility_tracking— config for the a11y tracker (repos, labels, channels).
Cross-Repo Intelligence
When results arrive from different repos, look for and surface these patterns:
| Pattern | Action |
|---|---|
| Cross-repo references | When issue A contains owner/repo#N, fetch and surface item N |
| Shared label patterns | Group items in different repos tagged P0 together in triage |
| Related PRs in different repos | Flag: "This issue depends on PR #N in repo-B which is still open" |
| Merged PR not yet released | Note: "Your PR #N is merged but not in any release yet" |
| Issue with merged fix PR | Flag: "This may be resolved — PR #N that closes it was merged on {date}" |
| Branch naming patterns | Group PRs in different repos using the same branch naming convention |
Parallel Stream Collection Model
For agents that collect from multiple data streams, run independent streams simultaneously. Don't serialize operations with no dependencies.
Example: Daily Briefing — 3 Parallel Batches
Batch 1 — fully independent, run simultaneously:
- Issues (assigned, mentioned, authored)
- Pull requests (review-requested, authored)
- Releases & deployments
- Accessibility updates
Batch 2 — run after Batch 1 (CI needs PR list from Batch 1):
- GitHub Discussions
- CI/CD health (cross-references PR list)
- Security alerts
Batch 3 — can overlap with Batch 2:
- Project board status
- Recently closed/merged work
Example: Analytics — 2 Parallel Batches
Batch 1 — collection (all independent):
- Closed/merged PRs in period
- Opened issues in period
- CI workflow runs in period
- Security alerts in period
Batch 2 — analysis (depends on Batch 1 data):
- Health score computation
- Velocity metrics calculation
- Bottleneck detection
Announcement Template for Parallel Work
⚙️ Running {N} searches in parallel… ({scope})
✅ Batch 1 complete — {X} items found
⚙️ Running {N} additional searches…
✅ Batch 2 complete — {Y} items found
⚙️ Scoring and prioritizing…
✅ Done — {Z} items need action, {W} to monitor
Auto-Recovery for Empty Results
If a search returns 0 results:
- Automatically broaden: remove date filter, expand scope to
all, or remove label filters. - Tell the user exactly what changed: "No results in last 7 days — broadened to last 30 days and found 3 items."
- Never return 0 results without trying at least one broader query first.
Recovery cascade:
- First try: Remove date qualifier
- Second try: Expand scope (add org: or remove repo: qualifier)
- Third try: Remove label filters
- Report 0 results only if all three attempts return nothing
Pagination
- Paginate large result sets in batches of 10.
- Ask before loading more: "Showing 10 of 47. Load more?"
- Never silently truncate results — always disclose the total count.
Result Deduplication
When the same item appears in multiple searches (e.g., an issue you're both assigned to AND mentioned in):
- Show it once, with all context combined.
- In the Signal column, combine signals: "Assigned • @mentioned".
- In priority calculations, apply the highest-scoring signal, not additive.
Rate Limiting
- If rate-limited (403/429), tell the user the reset time in one sentence.
- Do not retry the same query — wait if reset is <60 seconds; otherwise report and move on.
- For multi-stream collection, skip rate-limited streams and complete them in a follow-up.
When not to use it
- →When the user wants to search without any filters
- →When the rate limit is exceeded
Prerequisites
Limitations
- →Subject to GitHub rate limits
- →Requires preferences.md for full functionality
How it compares
It integrates project-specific preferences and parallelizes collection, making it more efficient and context-aware than standard searches.
Compared to similar skills
github-scanning side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| github-scanning (this skill) | 0 | 5mo | No flags | Intermediate |
| hf.track-reindex-needed | 0 | 5mo | Review | Beginner |
| resolve-conflicts | 81 | 8mo | Review | Intermediate |
| openspec-onboard | 10 | 6mo | Review | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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