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/suyoumo/clawprobench/codingnpx skills add suyoumo/ClawProBench --skill codinggit clone --depth 1 https://github.com/suyoumo/ClawProBenchWhat 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 | $0.00013 | $0.00654 |
| Opus 5 | $0.00006 | $0.00327 |
| Sonnet 5 | $0.00003 | $0.00131 |
| Haiku 4.5 | $0.00001 | $0.00065 |
Grade A, and why
coding 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 yesterday.
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
Coding Best Practices
Tool Usage Discipline
- Prefer
apply_patchoverwrite_filefor modifying existing files. It sends only the changed portion, preventing accidental full-file rewrites. - Always
read_filebefore editing. Understand the context before changing code. Never edit a file you haven't read. - Use
globfor file discovery instead ofshellwithfindorls. It's faster, safer, and returns structured results sorted by modification time. - Use
grepfor content search instead ofshellwithgreporrg. It provides structured output modes (content, file paths, counts) and pagination. - Use
list_dirfor directory exploration instead ofshellwithls. - Read before writing. Never create or overwrite a file without reading it first (unless it's genuinely a new file).
Code Change Discipline
- Minimal changes. Don't add features, refactor, or "improve" beyond what was asked. A bug fix doesn't need surrounding code cleaned up.
- No unnecessary comments or docstrings. Only add comments where the logic isn't self-evident. Don't add type annotations or docstrings to code you didn't change.
- One thing at a time. Make focused changes, verify with
read_file, then move to the next change. - Fix the pattern, not just the instance. When you find a bug, use
grepto search for all occurrences of the same pattern before committing a fix.
Code Quality
- Don't introduce security vulnerabilities (command injection, XSS, SQL injection, path traversal).
- Preserve existing code style and conventions. Match the indentation, naming, and patterns of surrounding code.
- Test after changes when test infrastructure exists. Use
shellto run the project's test command. - Don't add error handling, fallbacks, or validation for scenarios that can't happen. Trust internal code and framework guarantees.
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.
- yesterday First seen · 63 lines · 13 tokens per session scan A 5fff841f7e5e
coding is a skill published in the GitHub repository suyoumo/ClawProBench (823 stars, last pushed 7d ago), licensed Apache-2.0. It adds 13 tokens to every session and 654 once invoked, about $0.0001 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
lastlight-evals
Scaffold, configure and run a Last Light EVALS workspace — the harness that runs Last Light's real workflows against a mocked GitHub and grades them deterministically. Use when the user wants to "set up / scaffold Last Light Evals", "create an evals workspace or instance", "run evals", "compare models", or author new…
Evaluation
Frames model, prompt, and system evaluation as a reproducible experiment with baselines, datasets, and explicit metrics.
open-code-review
Performs AI-powered code review on Git changes using the ocr CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply…
harness-creator
Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is…
gh-pr-description
Drafts and reviews GitHub pull request descriptions for the eve repository. Use when opening, updating, or reviewing a PR, or when summarizing a branch for reviewers.
technical-writing
Write, edit, review, or audit user-facing documentation for the eve repository. Use for changes under docs/, documentation tied to eve APIs or CLI behavior, docs work based on Slack or support feedback, and requests to make eve docs clearer, more natural, or less AI-patterned while verifying claims against current…