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genpark-agent-trajectory-pass-fail-evaluator-skill

Step-by-step agent trajectory evaluator comparing execution traces against golden tool call sequences

Details

External ID
1394935113
Source
GITHUB
Company
—
Product
genpark-agent-trajectory-pass-fail-evaluator-skill
Website domain
github.com
Launched
Sept. 29, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agent-benchmarks, agent-reliability, agent-skills, developer-tools, evaluation, mcp, python-standard-library, quality-assurance, testing, tool-call-eval, trajectory-evaluator
Fetched at
Sept. 30, 2026, 1:02 a.m.
Updated at
Sept. 30, 2026, 1:02 a.m.

Enrichment

Theme
autonomous agent research and evaluation
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
trajectory evaluator for ai agents
Manually corrected
False

Could you build this?

Yes This is a focused utility script/skill that compares JSON/array execution traces of agent tool calls against golden benchmarks.

Competitors

Other products that read as similar to this one — 1760 launches clear the similarity bar, closest 8 shown.

Attention rank: #1543 of 1761 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 335 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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