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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
1394936036
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
agent trajectory evaluator for comparing tool execution traces
Manually corrected
False

Could you build this?

Yes Comparing an agent's logged tool calls against an expected sequence array using exact matching or basic sequence alignment is straightforward to implement.

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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