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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.

76

Quality

95%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

92%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.

A well-engineered skill body: fully executable commands, an explicit intent-to-endpoint table, sequenced steps with real error-recovery guidance, and a clean overview-plus-reference split that matches the actual bundle. The only trimmable fat is the introductory platform description and the heavyweight key-probe snippet.

DimensionReasoningScore

Conciseness

The body is largely lean — no library tutorials, no explanation of concepts Claude already knows — but the marketing-flavored intro ("institutional-grade market intelligence platform", "the ones most other providers lack") and the dense inline key-resolution shell probe add mild padding that could be trimmed. This matches 'efficient; minor instances of over-explanation' rather than the every-token-earns-its-place level.

4 / 5

Actionability

Guidance is copy-paste ready: exact curl commands with auth headers, a complete intent-to-endpoint mapping table, executable key-resolution shell logic, and concrete error semantics ("403 means not entitled", "503 not_available... retry later, don't treat as empty data"). Specific examples cover the common cases, including the MCP alternative install command.

5 / 5

Workflow Clarity

A clear six-step sequence (resolve key → resolve security → match endpoint → call → optional MCP → respond) with explicit error-recovery feedback loops: KEY_NOT_SET asks the user, "unauthorized" indicates a bad key, 403 signals missing entitlement, and 503 instructs retry. The operation is read-only, so the destructive/batch validation cap does not apply, and every failure mode has a stated response.

5 / 5

Progressive Disclosure

The body is a well-structured overview (steps, mapping table, error notes) that delegates full parameter details to a single one-level-deep reference, signaled twice ("read references/api-reference.md" and the Reference Files section). The bundle confirms the split: references/api-reference.md exists and delivers what the body promises — all endpoint groups with parameters, error semantics, and MCP tool mapping — so content is appropriately placed with easy navigation.

5 / 5

Total

19

/

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.

A strong description that clearly states what the skill does and when to use it, with an unusually thorough and natural set of trigger terms. The only weakness is that several enumerated triggers (price targets, dividends, EOD prices) are generic market-data terms that could also invoke a non-Fintel financial data skill.

DimensionReasoningScore

Specificity

The description enumerates many concrete capabilities — "short interest, short interest ratio or days to cover", "borrow rate or cost to borrow", "daily short volume", "fails-to-deliver (FTD)", "13F institutional owners", "insider buying or selling from SEC Form 3/4/5", "analyst price targets", "dividend or earnings history and calendars", "security lookup by ticker, CUSIP, ISIN, or FIGI" — giving comprehensive, concrete coverage of the domain rather than generic actions.

5 / 5

Completeness

It 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...") followed by a concrete list of trigger phrases, including the read-only scope note.

5 / 5

Trigger Term Quality

Trigger terms are the natural phrases users would say, with synonyms included: "short squeeze data", "days to cover", "cost to borrow", "shares available to borrow", "who owns X", "FTD", "insider buying or selling", plus identifier types (CUSIP, ISIN, FIGI). This matches the comprehensive-with-synonyms anchor; nothing common is missing.

5 / 5

Distinctiveness Conflict Risk

The Fintel brand anchor and uniquely Fintel datasets (short squeeze, borrow rates, FTD, leaderboards) create a clear niche, but broadly shared terms like "analyst price targets, ratings and forecasts", "dividend or earnings history", and "EOD or last prices" carry minor overlap risk with any general market-data skill. This sits between the 'clear niche, minimal conflict' (5) and 'mostly distinct, minor overlap' (4) anchors; the generic-finance triggers pull it to 4.

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

Path

plugins/data-providers/skills/fintel-data/SKILL.md

Reviewed

Table of Contents

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