Hmbown/CodeWhale is an open-source coding agent that runs in the terminal and is written in Rust. Developers use it to inspect repositories, edit files, run commands, and coordinate work with configurable model providers, skills, MCP servers, and approval controls; the catalogue entries extend its available workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Hmbown/CodeWhale --skill gh-treasure-huntgit clone --depth 1 https://github.com/Hmbown/CodeWhaleWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hmbown/codewhale/gh-treasure-hunt)<a href="https://agentmods.dev/skills/hmbown/codewhale/gh-treasure-hunt"><img src="https://agentmods.dev/badge/skills/hmbown/codewhale/gh-treasure-hunt/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hmbown/codewhale/gh-treasure-hunt"><img src="https://agentmods.dev/badge/skills/hmbown/codewhale/gh-treasure-hunt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 84 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00039 | $0.01190 |
| Opus 5 | $0.00019 | $0.00595 |
| Sonnet 5 | $0.00008 | $0.00238 |
| Haiku 4.5 | $0.00004 | $0.00119 |
Grade A, and why
gh-treasure-hunt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gh-treasure-hunt
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 Hunter's approval.
When to use
- You want to land the most contributor value with the least risk before a cut (example goal: maximize NEW contributors landed before a release).
- The PR/issue queue is crowded and you need a triaged, prioritized hit list.
Ranking (value x safety, high to low)
- Clean direct-merge community PR, especially a NEW contributor's first PR.
- Issue the landing branch already implements -> close-with-evidence + credit.
- Genuinely small quick-fix (typo, doc, one-liner, missing test).
- Larger/design work -> defer with a note; do not chase here.
Workflow
- Pull the queue (read everything, decide nothing yet):
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 - Shortlist PRs that look CLEAN + small (
mergeable=MERGEABLE, lowchangedFiles/additions, not draft, no trust-boundary surface: auth, sandbox, install, publish, branding). Flag any NEW contributor for credit. - Confirm each shortlisted PR from code, tests, comments, and checks:
gh pr view N --repo Hmbown/CodeWhale \ --json files,commits,reviews,comments,statusCheckRollup,closingIssuesReferences gh pr checks N --repo Hmbown/CodeWhale - Test mergeability against the REAL landing branch (release branches are often
local-only; the main-based
mergeableflag lies):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 - Find already-implemented issues: grep the landing branch for the behavior the
issue asks for, then confirm the exact lines.
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.git grep -n "DEEPSEEK_BASE_URL" <release-branch> - Spot quick-fixes: short issues/PRs that are a typo, doc nit, asset-name mismatch, or a single missing test. Keep them genuinely small.
- Build the credit plan per win. Cherry-pick preserves the author. Otherwise
add trailers, using
.github/AUTHOR_MAPfirst (else derive the noreply id):gh api users/HANDLE --jq '"\(.id)+\(.login)@users.noreply.github.com"'
TheCo-authored-by: Name <[email protected]> Harvested from PR #N by @handleHarvested from PR #N by @handleline letsauto-close-harvested.ymlclose the PR with credit once the commit reachesmain. Validate trailers:git log BASE..HEAD --format='%h %an <%ae>%n%(trailers:key=Co-authored-by)' # credit the human, from .github/AUTHOR_MAP - Sanity-check anything you would actually land locally before recommending it:
cargo fmt --all -- --check && cargo test --workspace
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago Changed 8d88d268e95f
- 11d ago First seen · 102 lines · 39 tokens per session scan A fb078b4908ee
gh-treasure-hunt is a skill published in the GitHub repository Hmbown/CodeWhale (40,914 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 1,190 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
cw-land
Use when turning verified Codewhale work into commits, branches, or a merge: choosing direct-main vs. worktree vs. integration branch, preserving contributor credit, and honoring the gate artifact before merging.
cw-slice
Use before writing code for any Codewhale feature, upgrade, or refactor: find the existing owner of the behavior, bound the change to one reviewable slice, and fix the evidence bar before you start.
cw-dogfood
Use when a Codewhale change needs proving in the real product, or when asked to build/install/dogfood the local binaries: stamped release build, atomic install, fresh-shell verification, and the manual QA that gates cannot cover.
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
cw-handoff
Use when writing a Codewhale takeover prompt, continuation note, or end-of-session summary for another agent or a later session: a paste-ready handoff grounded in live state, with done/suspected/blocked kept separate.
cw-orient
Use at the start of any Codewhale work session, or when unsure which checkout, branch, or worktree is authoritative: establish live repo truth before reading a plan or editing a file.