agentic-evaluator

Evaluates any repository's agentic development maturity. Use when auditing a codebase for best practices in agents, skills, instructions, MCP config, and prompts. Produces a scored report with specific remediation steps.

1.50x

Quality

66%

Does it follow best practices?

Impact

93%

1.50x

Average score across 3 eval scenarios

Securityby

Advisory

Suggest reviewing before use

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npx tessl skill review --optimize ./.github/skills/agentic-evaluator/SKILL.md

Evaluation results

97%

40%

Agentic Maturity Audit: DataSync Platform

Foundation scoring and lean context evaluation

Criteria

Without context

With context

Noise items flagged

76%

100%

Signal items preserved

100%

Root instructions quality scored

100%

Missing .github/ structure flagged

25%

100%

Missing MCP config flagged

100%

Discovery scan locations

25%

62%

Score breakdown table

37%

100%

Correct grade assigned

100%

Issues by priority

100%

Recommendations included

100%

README AI documentation credited

14%

100%

Lean context principle cited

100%

87%

32%

Skills Audit: FinTrack API Platform

Skills quality, size guidelines, and progressive disclosure

Criteria

Without context

With context

Oversized skill flagged

66%

100%

Progressive disclosure compliance

80%

70%

Remediation file structure

70%

90%

Quality dimension ratings

20%

100%

Quality dimension total scored

100%

Frontmatter validation - api-development

25%

62%

Frontmatter validation - kafka-consumer

25%

62%

SkillsBench findings applied

87%

100%

Domain sensitivity noted

37%

100%

Right-sized skill acknowledged

87%

62%

Skills inventory included

90%

100%

96%

20%

Agentic Tooling Review: CloudOps Automation Platform

Complete evaluation: agents, instructions, consistency, report generation

Criteria

Without context

With context

TerraformProvisioner naming flagged

100%

TerraformProvisioner tools missing

100%

Unresolved cross-reference flagged

100%

pagerduty-mcp not in MCP config

100%

Instructions missing applyTo

100%

Instructions right-sized

100%

66%

MCP config credits

66%

100%

Root instructions quality credited

66%

Noise in root instructions flagged

100%

P0/P1/P2 issue prioritization

100%

Correct letter grade

100%

Artifacts inventory

50%

100%

Recommendations structure

75%

100%

Repository: 0xrabbidfly/eric-cartman
Commit: 1e34e1c

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Agentic Maturity Audit: DataSync Platform Skills Audit: FinTrack API Platform Agentic Tooling Review: CloudOps Automation Platform

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