trial-costs
trial-costs is an LLM evaluation & observability skill for AI agents, published by harbor-framework in the terminal-bench-3 repository on GitHub. Skillspace rates trial-costs D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Sum agent-trial spend ($) from TB3 PR comments and Modal compute spend. Reports totals by kind (/run vs /cheat) and provider (anthropic, openai, ...), top-spender PRs, per-task latest trial cost, and daily Modal billing. Use when the user asks how much was spent on agent trials, cost breakdown by provider, PR-level spend, or Modal usage.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 311
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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