tau2-playbook
tau2-playbook is an LLM evaluation & observability skill for AI agents, published by Darwin-Agent in the HarnessX repository on GitHub. Skillspace rates tau2-playbook D (62/100) and it passed the safety scan; the rating is based on static analysis only.
τ²-bench-specific benchmark guidance (Sierra Research; retail / airline / telecom). Multi-turn dialogue eval with multiplicative reward (DB × action × NL-assertion) and pass^k reliability metric. Catalogues tau2 failure modes and techniques from public writeups, mapped to HarnessX's four levers (config / control / action / instruction). Use when forming a hypothesis or scanning for which intervention fits a pattern seen in tau2 trajectories.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 242
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
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.