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proof-of-work

Captures and documents agent findings as verifiable artifacts — screenshots via agent-browser or playwright-mcp, captured logs, and script output. Use when completing investigations, audits, UI changes, infrastructure tasks, or any task where evidence of actions taken must be preserved.

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-structured, actionable, and lean: a clear workflow, executable capture examples, explicit anti-patterns, and a real one-level-deep reference. The main weaknesses are the duplication of naming/capture/template content between SKILL.md and artifact-storage.md, an incomplete AWS command example, and a verification step without an explicit recovery loop.

Suggestions

De-duplicate the body against references/artifact-storage.md: keep one canonical copy of the naming convention, capture-method examples, and evidence-table template in the reference, and have the body link to it instead of restating them.

Replace the truncated "aws cloudwatch get-metric-data ..." example with a complete, runnable command (or drop it in favor of a generic "<command> > .context/evidence/<file>.json" pattern).

Turn the Verification section into a feedback loop: state explicitly that if a screenshot is invalid or a file is missing/empty, re-run the capture step before reporting the evidence summary.

DimensionReasoningScore

Conciseness

Largely efficient with no explanations of concepts Claude already knows, but the naming convention, capture method examples, and evidence-table template are inlined in the body while also duplicated in references/artifact-storage.md — trimmable redundancy.

4 / 5

Actionability

Mostly executable guidance (playwright-mcp snippet, agent-browser action block, kubectl/tee shell commands, verification commands), but the AWS example contains a literal ellipsis ("aws cloudwatch get-metric-data ...") and the playwright snippet assumes a pre-existing page object — minor gaps.

4 / 5

Workflow Clarity

Clear 4-step sequence with per-step outputs plus a Verification section with concrete commands, but validation stops short of a feedback loop — there is no instruction to re-capture or retry when an artifact is invalid or missing.

4 / 5

Progressive Disclosure

Well-organized body with a clearly signaled one-level-deep reference (references/artifact-storage.md exists and matches the link), but substantial content duplication between the body and that reference is an organization gap — the split of what lives where is not clean.

4 / 5

Total

16

/

20

Passed

Description

88%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: concrete actions, named tools, and an explicit 'Use when' clause with natural trigger contexts. Third person is used throughout, and it is concise while remaining specific. Only minor gaps in synonym coverage and slight breadth in trigger contexts keep it from top marks on two dimensions.

DimensionReasoningScore

Specificity

Lists multiple concrete actions with named tools: "Captures and documents agent findings as verifiable artifacts — screenshots via agent-browser or playwright-mcp, captured logs, and script output" — comprehensive coverage of the skill's artifact types.

5 / 5

Completeness

Explicitly answers both what ("Captures and documents agent findings as verifiable artifacts...") and when ("Use when completing investigations, audits, UI changes, infrastructure tasks, or any task where evidence of actions taken must be preserved") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural-keyword coverage ("screenshots", "captured logs", "script output", "investigations, audits, UI changes, infrastructure tasks", "evidence"), but misses common synonyms like "proof" and "documentation" and any file extensions, so it falls just short of the comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

The evidence-preservation niche is clear and mostly distinct, but the broad trigger contexts ("UI changes, infrastructure tasks") create minor overlap risk with browser-automation and documentation skills.

4 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

pantheon-org/tekhne

Path

skills/documentation/proof-of-work/skills/proof-of-work/SKILL.md

Reviewed

Table of Contents

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