analyzing-market-sentiment
Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum. Use when gauging overall market mood, checking if markets are fearful or greedy, or analyzing sentiment for specific coins. Trigger with phrases like "analyze crypto sentiment", "check market mood", "is the market fearful", "sentiment for Bitcoin", or "Fear and Greed index".
87
86%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
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.
This is a well-crafted skill description that hits all the key criteria. It specifies concrete capabilities (Fear & Greed Index, news analysis, market momentum), provides explicit 'Use when' guidance, and includes natural trigger phrases users would actually say. The description is concise, uses third person voice, and clearly distinguishes itself from other potential crypto-related skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: analyzing sentiment using Fear & Greed Index, news analysis, and market momentum. These are concrete, named techniques rather than vague language. | 3 / 3 |
Completeness | Clearly answers both 'what' (analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum) and 'when' (explicit 'Use when' clause plus a 'Trigger with phrases like' section providing concrete examples). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would say: 'analyze crypto sentiment', 'check market mood', 'is the market fearful', 'sentiment for Bitcoin', 'Fear and Greed index'. These are realistic phrases a user would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Clearly occupies a distinct niche around cryptocurrency sentiment analysis with specific triggers like 'Fear and Greed index' and 'market mood' that are unlikely to conflict with other skills such as general crypto trading or portfolio management. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill with strong actionability and good progressive disclosure. The main weaknesses are moderate redundancy between the Instructions and Examples sections, and a lack of validation/verification steps in the workflow (e.g., checking that API responses are valid before presenting results). The error handling table is a nice touch but could be integrated into the workflow as checkpoints rather than listed separately.
Suggestions
Remove or significantly reduce the Examples section since most commands duplicate what's already in Instructions - or consolidate into a single section.
Add a validation step after running the analyzer (e.g., check exit code, verify JSON output is well-formed) before presenting results to the user.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but has some redundancy - the Examples section largely duplicates commands already shown in the Instructions section. The interpretation text in the output example and some of the step 1 bullet points explain things Claude can infer. | 2 / 3 |
Actionability | Provides fully executable CLI commands with clear flags and options. Commands are copy-paste ready with proper variable references, and the output format is explicitly shown so Claude knows exactly what to expect and present. | 3 / 3 |
Workflow Clarity | Steps are clearly sequenced (assess intent → run analysis → export → present), but there are no validation checkpoints. There's no step to verify the script output is valid before presenting to the user, and no feedback loop if the analysis produces unexpected or incomplete results. | 2 / 3 |
Progressive Disclosure | Well-structured with a clear overview, concise main content, and well-signaled one-level-deep references to implementation details, error handling, and examples in separate files. The Resources section provides clear navigation to supplementary materials. | 3 / 3 |
Total | 10 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Commit
4dee593
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.