Track cryptocurrency futures, options, and perpetual swaps with funding rates, open interest, liquidations, and comprehensive derivatives market analysis. Use when monitoring derivatives markets, analyzing funding rates, tracking open interest, finding liquidation levels, or researching options flow. Trigger with phrases like "funding rate", "open interest", "perpetual swap", "futures basis", "liquidation levels", "options flow", "put call ratio", "derivatives analysis", or "BTC perps".
78
75%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/crypto/crypto-derivatives-tracker/skills/tracking-crypto-derivatives/SKILL.mdQuality
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 strong skill description that clearly defines its scope within cryptocurrency derivatives markets, provides explicit trigger guidance with natural user phrases, and occupies a distinct niche. The description is well-structured with separate capability, usage, and trigger sections, making it easy for Claude to match against user requests.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: tracking futures/options/perpetual swaps, funding rates, open interest, liquidations, and derivatives market analysis. These are clearly defined capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (track crypto derivatives with funding rates, open interest, liquidations, etc.) and 'when' (explicit 'Use when...' clause plus a dedicated 'Trigger with phrases like...' section with specific trigger terms). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms including 'funding rate', 'open interest', 'perpetual swap', 'futures basis', 'liquidation levels', 'options flow', 'put call ratio', 'BTC perps' — these are terms users would naturally use when seeking derivatives analysis. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche — cryptocurrency derivatives is a specific domain with unique terminology (perpetual swaps, funding rates, liquidation levels) that is unlikely to conflict with general crypto price tracking or traditional finance skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is well-structured with clear sections, concrete CLI examples, and useful interpretive guidance for derivatives data. Its main weaknesses are: the core script (`derivatives_tracker.py`) doesn't exist in the bundle making all commands non-executable, referenced files are missing, and there are no validation/verification steps in the workflow. Some content explains concepts Claude already knows (derivatives basics, what API keys are).
Suggestions
Provide the `derivatives_tracker.py` implementation or at minimum a skeleton script in the bundle so the CLI commands are actually executable rather than aspirational.
Add validation checkpoints such as verifying API connectivity before running analyses and checking output sanity (e.g., 'If funding rate returns null for all exchanges, check network access').
Include the referenced `references/implementation.md` file in the bundle with the promised output format examples.
Remove the Prerequisites section and OI/funding interpretation guides—Claude already understands these derivatives concepts and can infer them without explicit instruction.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but includes some unnecessary content like the Prerequisites section (Claude knows what Python is and what API keys do), the 'Understanding of derivatives concepts' bullet, and the interpretive guidance for funding rates and OI divergence patterns which Claude already knows. The error handling table and resources section add moderate value but could be tighter. | 2 / 3 |
Actionability | Provides concrete CLI commands with clear flags and arguments, which is good. However, all commands reference a `derivatives_tracker.py` script that doesn't exist in the bundle and no implementation is provided. Without the actual script or instructions to create it, these commands aren't truly executable—they describe an interface to a tool that isn't supplied. | 2 / 3 |
Workflow Clarity | Steps are clearly sequenced and logically ordered from individual analyses to full dashboard. However, there are no validation checkpoints—no guidance on verifying API connectivity before running commands, no feedback loops for handling partial data or stale results, and no verification that outputs are reasonable before acting on them. | 2 / 3 |
Progressive Disclosure | References `${CLAUDE_SKILL_DIR}/references/implementation.md` for detailed output formats and guides, which is good progressive disclosure structure. However, no bundle files are provided, so the referenced file doesn't exist, making the reference a dead link. The main file itself is moderately long but reasonably organized with clear sections. | 2 / 3 |
Total | 8 / 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 | |
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Table of Contents
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