Use when creating new skills, editing existing skills, or verifying skills work before deployment
71
Quality
58%
Does it follow best practices?
Impact
94%
1.77xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/writing-skills/SKILL.mdSKILL.md frontmatter and CSO-optimized description
Frontmatter fields only
0%
100%
Name format
0%
100%
Verb-first name
0%
0%
Description starts with Use when
0%
100%
Description is third person
0%
100%
Description has no workflow summary
0%
100%
Description focuses on triggering conditions
0%
100%
Description under 500 characters
0%
100%
Frontmatter under 1024 chars
0%
100%
Single code example
0%
40%
Notes justify frontmatter decisions
40%
100%
Without context: $0.3428 · 1m 42s · 16 turns · 18 in / 5,086 out tokens
With context: $0.4983 · 1m 44s · 20 turns · 27 in / 5,223 out tokens
Skill file organization, token efficiency, cross-referencing, and flowchart usage
Flat namespace directory
100%
100%
API reference in separate file
100%
100%
Template script in separate file
100%
100%
SKILL.md stays concise
100%
100%
CLI flags use --help reference
60%
100%
Cross-reference without @ link
100%
100%
Cross-reference has explicit requirement marker
25%
100%
Single-language code example
100%
100%
No flowchart for linear workflow
100%
100%
Frontmatter cleaned up
0%
100%
Rationale explains decisions
100%
100%
Without context: $0.5919 · 3m 5s · 21 turns · 28 in / 11,436 out tokens
With context: $0.7100 · 2m 52s · 23 turns · 26 in / 10,197 out tokens
Iron Law TDD cycle and bulletproofing discipline-enforcing skills
Rationalization table present
80%
100%
Rationalizations from baseline
100%
100%
Explicit negations for loopholes
100%
100%
Red flags list
50%
100%
Spirit vs letter addressed
37%
100%
Authority language used
100%
100%
No liking/reciprocity language
100%
100%
Pressure scenarios have multi-pressure design
100%
100%
Pressure scenarios force explicit choice
0%
100%
Deployment checklist uses todo format
100%
100%
Description has violation symptoms
62%
100%
Commitment mechanism present
33%
33%
Without context: $0.4073 · 2m 17s · 21 turns · 27 in / 6,780 out tokens
With context: $0.7130 · 2m 37s · 24 turns · 28 in / 7,637 out tokens
Table of Contents
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