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Get Started Free →Hunt the issue/PR queue for highest value-over-risk wins: clean focused community PRs, already-implemented issues to close, safe quick-fixes.
.claude/skills/hmbown-gh-treasure-hunt/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 14% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 71% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 33% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -21% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 61% | 0% |
Hunt the open queue for the highest value-over-risk wins fast: clean focused community PRs, issues the branch already implements, and safe quick-fixes. Output a ranked action list with credit handling. Never act on title or labels alone, and never merge/close/tag without maintainer approval.
(example goal: maximize NEW contributors landed before a release).
bash gh pr list --repo Hmbown/CodeWhale --state open --limit 200 \ --json number,title,author,headRefName,baseRefName,isDraft,mergeable,mergeStateStatus,additions,deletions,changedFiles,reviewDecision,labels,url gh issue list --repo Hmbown/CodeWhale --state open --limit 300 \ --json number,title,author,labels,milestone,url
mergeable=MERGEABLE, lowchangedFiles/additions, not draft, no trust-boundary surface: auth, sandbox, install, publish, branding). Flag any NEW contributor for credit.
bash gh pr view N --repo Hmbown/CodeWhale \ --json files,commits,reviews,comments,statusCheckRollup,closingIssuesReferences gh pr checks N --repo Hmbown/CodeWhale
local-only; the main-based mergeable flag lies): bash git fetch origin pull/N/head:refs/tmp/pr-N base=$(git merge-base <release-branch> refs/tmp/pr-N) git merge-tree "$base" <release-branch> refs/tmp/pr-N # empty/no conflict markers == clean
issue asks for, then confirm the exact lines. bash git grep -n "DEEPSEEK_BASE_URL" <release-branch> If the branch already covers it, draft a close-with-evidence note linking the commit/lines and crediting the reporter. Hold the close for approval.
mismatch, or a single missing test. Keep them genuinely small.
add trailers, using .github/AUTHOR_MAP first (else derive the noreply id): bash gh api users/HANDLE --jq '"\(.id)+\(.login)@users.noreply.github.com"' text Co-authored-by: Name <ID+handle@users.noreply.github.com> Harvested from PR #N by @handle The Harvested from PR #N by @handle line lets auto-close-harvested.yml close the PR with credit once the commit reaches main. Validate trailers: bash git log BASE..HEAD --format='%h %an <%ae>%n%(trailers:key=Co-authored-by)' # credit the human, from .github/AUTHOR_MAP
bash cargo fmt --all -- --check && cargo test --workspace
main-based clean flag for a release branch; run git merge-treeagainst the real landing branch.
direct merge erase issue reporters/helpers from credit.
and crediting, and is drafted then held for approval.
Write treasure.md:
quick-fix, with the landing branch and merge-tree result;
.github/AUTHOR_MAP gaps per win;| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 9,489 | 10,203 | +8% | 1 | 1 | 0% | 293 | 1,672 | +471% | 0 | 0 | — |
case-02 | fail→fail | 8,749 | 14,738 | +68% | 1 | 1 | 0% | 569 | 1,652 | +190% | 0 | 0 | — |
case-03 | fail→fail | 6,017 | 8,772 | +46% | 1 | 1 | 0% | 243 | 1,827 | +652% | 0 | 0 | — |
case-04 | fail→pass | 14,767 | 7,391 | -50% | 1 | 1 | 0% | 2,030 | 2,317 | +14% | 0 | 0 | — |
case-05 | pass→pass | 15,159 | 6,100 | -60% | 1 | 1 | 0% | 1,433 | 2,094 | +46% | 0 | 0 | — |
case-06 | pass→pass | 23,312 | 7,744 | -67% | 1 | 1 | 0% | 1,890 | 2,555 | +35% | 0 | 0 | — |
case-07 | pass→pass | 4,065 | 10,486 | +158% | 1 | 1 | 0% | 672 | 1,673 | +149% | 0 | 0 | — |
case-08 | pass→pass | 15,990 | 6,057 | -62% | 1 | 1 | 0% | 2,586 | 2,287 | -12% | 0 | 0 | — |
case-09 | fail→pass | 6,936 | 3,625 | -48% | 1 | 1 | 0% | 1,037 | 1,777 | +71% | 0 | 0 | — |
case-10 | fail→pass | 11,949 | 8,094 | -32% | 1 | 1 | 0% | 1,805 | 2,397 | +33% | 0 | 0 | — |
case-11 | fail→pass | 35,810 | 4,524 | -87% | 1 | 1 | 0% | 2,304 | 1,814 | -21% | 0 | 0 | — |
case-12 | pass→pass | 11,972 | 4,851 | -59% | 1 | 1 | 0% | 1,861 | 1,950 | +5% | 0 | 0 | — |
case-13 | pass→pass | 6,079 | 2,862 | -53% | 1 | 1 | 0% | 913 | 1,639 | +80% | 0 | 0 | — |
case-14 | pass→pass | 7,176 | 5,898 | -18% | 1 | 1 | 0% | 966 | 2,148 | +122% | 0 | 0 | — |
case-15 | fail→pass | 10,275 | 10,204 | -1% | 1 | 1 | 0% | 1,400 | 2,249 | +61% | 0 | 0 | — |
case-16 | pass→pass | 10,894 | 8,800 | -19% | 1 | 1 | 0% | 1,287 | 2,028 | +58% | 0 | 0 | — |
case-17 | pass→pass | 7,699 | 5,951 | -23% | 1 | 1 | 0% | 1,017 | 1,847 | +82% | 0 | 0 | — |
case-18 | pass→pass | 14,828 | 10,147 | -32% | 1 | 1 | 0% | 1,738 | 2,076 | +19% | 0 | 0 | — |
case-19 | pass→pass | 5,436 | 4,383 | -19% | 1 | 1 | 0% | 851 | 1,782 | +109% | 0 | 0 | — |
case-20 | pass→pass | 7,951 | 9,088 | +14% | 1 | 1 | 0% | 1,172 | 2,764 | +136% | 0 | 0 | — |
case-21 | pass→fail | 13,790 | 24,143 | +75% | 1 | 1 | 0% | 1,428 | 2,428 | +70% | 0 | 0 | — |
case-22 | pass→pass | 9,492 | 11,411 | +20% | 1 | 1 | 0% | 1,641 | 3,031 | +85% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 18 counted toward the lift figure. The other 4 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +18 percentage points is the difference between those two pass rates over the 18 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 9/8/2026 | +23% |
| gemini-3.6-flash | verified | 8/7/2026 | +36% |
Other measured skills in the registry, with their headline benchmark lift.