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panning-for-gold

Use when processing voice transcripts, brain dumps, stream-of-consciousness notes, or any raw multi-topic capture. Extracts every idea thread, then evaluates each one with deep brainstorming, then captures results to Open Brain. Trigger on transcripts, exports, "process this", "pan for gold", "brain dump", "what did I say", or multi-topic markdown files.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

A highly actionable, well-sequenced orchestration skill with strong workflow clarity, but it is verbose through heavy repetition of the same lessons and is monolithic with no progressive disclosure. Tightening the redundancy and splitting the large sub-procedures into reference files would lift the two weaker dimensions.

Suggestions

Deduplicate the recurring lessons: state each rule once in 'Critical Rules' and reference it from Phases, Common Mistakes, and Red Flags rather than restating it; collapse the repeated 10-speaker-label anecdote into a single Lessons Log entry.

Offload the detailed Phase 0.5 speaker-consolidation procedure and the evaluation/summary templates into reference files (e.g. references/speaker-consolidation.md, references/evaluation-template.md) and link to them one level deep from SKILL.md, turning the main file into a lean overview.

Move the dated incident reports in the Lessons Log into a separate 'lessons' reference or a deprecated/old-patterns section so time-sensitive incident detail does not consume the main workflow's token budget.

DimensionReasoningScore

Conciseness

The body is high-signal and avoids explaining concepts Claude already knows, but the same lessons are restated three to four times — 'save everything to files' appears in Critical Rules, Phase 0, Phase 1, Common Mistakes, and Red Flags, and the 10-speaker-label incident is recounted in Phase 0.5, The Problem, and the Lessons Log — so it could be tightened. Not score 1 because the content is operational rather than padded with basics; not score 3 because the redundancy is avoidable verbosity.

2 / 3

Actionability

Provides copy-paste-ready artifacts: the per-idea evaluation prompt template, the gold-found summary format, exact file-naming conventions, agent config (model: opus/sonnet/haiku, run_in_background: true), and numeric decision thresholds (>20% re-extract, >5 re-triage). As an instruction/orchestration skill, its guidance is concrete and specific.

3 / 3

Workflow Clarity

A graphviz flow diagram plus numbered Phases 0 through 4 give a clear sequence, with explicit validation checkpoints ('User confirms?'), feedback loops (targeted re-read on 'missed things', re-triage when >5 agents, re-extract decision at >20%), and a two-pass verification scan. Batch operations (multi-agent evaluation) have the required validation, so it is not capped at 2.

3 / 3

Progressive Disclosure

No bundle files exist and the skill is a single ~350-line monolithic file with everything inline; content that could be offloaded — the lengthy Phase 0.5 speaker-consolidation sub-procedure, the templates, and the Lessons Log — is all inlined with no one-level-deep references. It earns 2 rather than 1 because the section headers organize it well rather than forming an unstructured wall, but at >50 lines with no references it cannot reach 3.

2 / 3

Total

10

/

12

Passed

Description

100%

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, complete description: it states three concrete capabilities in third person, gives rich natural-language triggers, and carves out a distinctive niche. No changes needed.

DimensionReasoningScore

Specificity

Lists multiple concrete actions in third person — 'Extracts every idea thread, then evaluates each one with deep brainstorming, then captures results to Open Brain' — matching the multi-action score-3 anchor; no pronoun-based first/second-person voice is present (the 'Use when' trigger phrasing matches the rubric's own good examples), so no specificity penalty applies.

3 / 3

Completeness

Explicitly answers both 'what' ('Extracts... evaluates... captures results to Open Brain') and 'when' ('Use when processing... Trigger on...'), with explicit trigger guidance, satisfying the score-3 anchor.

3 / 3

Trigger Term Quality

Covers natural user phrasings — 'voice transcripts, brain dumps, stream-of-consciousness notes', 'process this', 'pan for gold', 'brain dump', 'what did I say', 'multi-topic markdown files' — giving good coverage of terms a user would actually say.

3 / 3

Distinctiveness Conflict Risk

The niche (panning raw brain dumps / voice transcripts into a permanent Open Brain inventory) and distinctive triggers like 'pan for gold' and 'what did I say' make it unlikely to fire for the wrong skill.

3 / 3

Total

12

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
NateBJones-Projects/OB1
Reviewed

Table of Contents

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