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 agentmods add skills/hmbown/codewhale/skill-installernpx skills add Hmbown/CodeWhale --skill skill-installergit 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/skill-installer)<a href="https://agentmods.dev/skills/hmbown/codewhale/skill-installer"><img src="https://agentmods.dev/badge/skills/hmbown/codewhale/skill-installer.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00039 | $0.00343 |
| Opus 5 | $0.00019 | $0.00171 |
| Sonnet 5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
skill-installer 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 5d 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.
What it actually says
Skill Installer
Use this skill when the user wants to find, install, update, trust, or remove a Codewhale skill.
Commands
- List installed skills:
/skills - Activate a skill:
/skill <name> - Scaffold a new skill:
/skill new - Install from GitHub:
/skill install github:<owner>/<repo> - Update installed skills:
/skill update - Remove a skill:
/skill uninstall <name> - Trust a skill for script/tool use:
/skill trust <name>
Workflow
- Identify the source:
- Existing local folder with
SKILL.md - GitHub repo or registry entry
- User request for a new skill scaffold
- Existing local folder with
- Prefer Codewhale's native
/skillcommands over ad hoc copying. - For GitHub/community skills, inspect the
SKILL.mdbefore recommending trust. Treat scripts and companion files as untrusted until reviewed. - After installing, tell the user to restart the session if the skill does not appear immediately in the available-skills list.
- If a skill conflicts by name with a workspace skill, explain that workspace
skill directories take precedence over global
~/.codewhale/skills, with~/.deepseek/skillsretained as a legacy fallback.
Do not execute community skill scripts unless the user explicitly asks and the skill has been reviewed or trusted.
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.
- 5d ago First seen · 38 lines · 39 tokens per session scan A cd4ac950534b
skill-installer is a skill published in the GitHub repository Hmbown/CodeWhale (40,889 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 343 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.
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