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fintel-data

Query Fintel (fintel.io) institutional market data through its REST API or official MCP server. Use this skill whenever the user mentions Fintel or asks about short interest, short interest ratio or days to cover, short squeeze data, borrow rate or cost to borrow, shares available to borrow, daily short volume, fails-to-deliver (FTD), 13F institutional owners ("who owns X"), insider buying or selling from SEC Form 3/4/5, analyst price targets, ratings and forecasts, dividend or earnings history and calendars, EOD or last prices, security lookup by ticker, CUSIP, ISIN, or FIGI, Fintel leaderboards, or their Fintel watchlists and alerts. Read-only: GET endpoints only.

78

Quality

98%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%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.

Excellent body content: a tight, token-efficient workflow that goes from key resolution through endpoint selection to response formatting, with copy-paste curl examples, explicit error semantics and recovery guidance, and proper progressive disclosure into a single well-described reference file. No padding, no over-explanation, no gaps in the executable guidance.

DimensionReasoningScore

Conciseness

Lean and efficient throughout: the body is a dense endpoint decision table, executable curl snippets, and terse operational rules; it never explains concepts Claude already knows (no 'what is an API key' padding) and every section carries load (e.g. error semantics like '503 not_available... retry later, don't treat as empty data'). The two-line intro only conveys non-obvious guidance about which datasets are distinctive. This matches the level-5 anchor; level 4 would require identifiable over-explanation to trim, and none is present.

5 / 5

Actionability

Fully executable, copy-paste-ready commands: 'curl -s -H "X-API-KEY: $FINTEL_API_KEY" "https://api.fintel.io/v1/securities/us/AAPL/short-volume" | python3 -m json.tool', plus concrete identifier-resolution curls and an explicit `claude mcp add` command. The Step 3 table maps ~20 user intents to exact endpoint paths with parameters and error notes, covering the common cases. Matches the level-5 anchor; no pseudocode or missing execution details.

5 / 5

Workflow Clarity

A clear numbered sequence (resolve key → resolve security → match endpoint → call → MCP alternative → respond) with explicit validation and recovery checkpoints for every failure mode: 'KEY_NOT_SET — ask the user for their key', '403 means not entitled', '503 not_available means retry later; don't treat as empty data', and 'Surface meta.warnings to the user when present'. This is a read-only lookup skill, so no destructive/batch cap applies, and the error-recovery loops meet the level-5 anchor; level 4 would leave some checkpoint implicit, and none is.

5 / 5

Progressive Disclosure

The body is a clear overview that pushes full parameter details to a single one-level-deep reference — 'Full parameter details, country/exchange discovery endpoints, and more curl examples: read `references/api-reference.md`' — and a 'Reference Files' section that says exactly what the file contains. The bundle matches: references/api-reference.md exists and holds the bulk endpoint tables. Clean one-level structure, well-signaled navigation, matching the level-5 anchor.

5 / 5

Total

20

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20

Passed

Description

96%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.

An excellent description: third-person, concrete, with an explicit use-when clause covering both provider-name and natural topic triggers, plus a read-only scope boundary. The only weakness is that several enumerated triggers (price targets, dividends, earnings, EOD prices) are generic enough to overlap with any sibling market-data skill rather than being Fintel-specific.

Suggestions

Qualify the generic market-data triggers so they bind to Fintel, e.g. 'analyst price targets, ratings, dividend/earnings history and EOD prices via Fintel' — this keeps the terms as triggers while signaling the provider and reducing conflict risk with other stock-data skills.

DimensionReasoningScore

Specificity

The description enumerates many specific concrete capabilities — 'short interest, short interest ratio or days to cover, short squeeze data, borrow rate or cost to borrow, shares available to borrow, daily short volume, fails-to-deliver (FTD), 13F institutional owners, insider buying or selling from SEC Form 3/4/5' — comprehensive coverage of what the skill queries, matching the level-5 anchor. It is not the level-4 anchor because there are no meaningful coverage gaps; the enumerated datasets span the full surface described in the body.

5 / 5

Completeness

Explicitly answers both questions: what — 'Query Fintel (fintel.io) institutional market data through its REST API or official MCP server' — and when — 'Use this skill whenever the user mentions Fintel or asks about [concrete trigger phrases]'. It also adds a scope boundary ('Read-only: GET endpoints only'), matching the level-5 anchor with concrete trigger phrases; level 4 would require a less explicit 'when' clause.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrasing including synonyms and near-user-verbatim terms: 'who owns X', 'cost to borrow', 'shares available to borrow', 'short squeeze data', 'fails-to-deliver (FTD)', 'EOD or last prices', and identifier names 'ticker, CUSIP, ISIN, or FIGI'. This matches the level-5 anchor (comprehensive coverage of natural terms including synonyms); nothing common is missing.

5 / 5

Distinctiveness Conflict Risk

Mostly distinct: triggers are anchored on 'Fintel' and niche datasets (borrow rates, FTD, short volume, 13F, Form 3/4/5) that other skills rarely claim. However, several listed triggers — 'analyst price targets, ratings and forecasts', 'dividend or earnings history and calendars', 'EOD or last prices' — are generic market-data terms that would also fire sibling stock-data skills, which is exactly the level-4 anchor ('minor overlap risk with closely related skills'). Not level 5 because the overlap on these generic terms is more than minimal; not level 3 because the provider anchor and majority-niche triggers keep it clearly distinguishable.

4 / 5

Total

19

/

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
himself65/finance-skills
Reviewed

Table of Contents

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