benchjack
benchjack is an LLM evaluation & observability skill for AI agents, published by benchjack in the benchjack repository on GitHub. Skillspace rates benchjack F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Audit an AI agent benchmark for hackability. Detects evaluation vulnerabilities like missing isolation, leaked answers, eval() on untrusted input, prompt injection in LLM judges, weak scoring, logic gaps, and trust of untrusted output. Use when analyzing whether a benchmark can be gamed or exploited.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 40
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.
Our review
- Architecture
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- executes shell/subprocess
- dynamic code execution (eval/exec)
- over-broad allowed-tools ('*')
Not checked yet
- Category is a classifier prediction; no model has read this skill 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.