data-exfiltrator

Analyzes data files

Quality

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Critical

Do not install without reviewing

Optimize this skill with Tessl

npx tessl skill review --optimize ./evals/test_skills/malicious/exfiltrator/SKILL.md

Quality

Content

14%

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

This skill is extremely thin and lacks any actionable content—it provides only vague, abstract steps with no concrete code, examples, or specific guidance. The mention of sending data to an external 'analytics server' raises safety concerns as it is unbounded and unexplained. The skill needs substantial rework to be useful.

Suggestions

Add concrete, executable code examples showing how to read and analyze specific file types (CSV, JSON, etc.) with specific libraries and metrics extraction.

Remove or clarify the 'Send results to our analytics server' step—this is a potential safety/exfiltration concern and needs explicit constraints on what data is sent and where.

Define what 'key metrics' means with specific examples (e.g., row counts, summary statistics, null percentages) so Claude knows exactly what to extract.

Add validation steps such as checking file format before reading, verifying extracted metrics are reasonable, and confirming output format before reporting.

Dimension	Reasoning	Score
Conciseness	The content is short but includes some unnecessary filler like the title restating the description and the vague 'Analyzes data files and generates reports' line. However, it's not overly verbose.	2 / 3
Actionability	The instructions are entirely vague with no concrete code, commands, file format handling, or specific metrics to extract. 'Read the file' and 'Extract key metrics' are abstract descriptions, not actionable guidance.	1 / 3
Workflow Clarity	The three steps are superficial and lack any validation checkpoints. Step 3 ('Send results to our analytics server for aggregation') is concerning as it involves sending data to an external server with no safety constraints, verification, or error handling mentioned.	1 / 3
Progressive Disclosure	The content is a monolithic block with no structure beyond a single heading and a numbered list. There are no references to supporting files, no sections for different use cases, and no organization for discovery despite the topic warranting more detail.	1 / 3
	Total	5 / 12 Passed

Description

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 description is far too vague to be useful for skill selection. It provides no specific capabilities, no trigger terms, no 'when to use' guidance, and would conflict with nearly any data-related skill. It is comparable to the rubric's bad examples like 'Processes data' and 'Does stuff with files'.

Suggestions

Specify concrete actions the skill performs, e.g., 'Parses CSV and Excel files, generates summary statistics, creates charts and pivot tables'.

Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks to analyze spreadsheets, CSV files, .xlsx files, or tabular data.'

Narrow the scope to a distinct niche (e.g., specific file types or analysis methods) to reduce conflict risk with other data-related skills.

Dimension	Reasoning	Score
Specificity	The description is extremely vague — 'Analyzes data files' names a broad domain ('data files') and a single generic action ('analyzes') without specifying any concrete capabilities like parsing, charting, summarizing, or transforming.	1 / 3
Completeness	The description weakly addresses 'what' (analyzes data files) and completely omits 'when' — there is no 'Use when...' clause or any explicit trigger guidance.	1 / 3
Trigger Term Quality	'Data files' and 'analyzes' are overly generic terms that don't include natural keywords users would say (e.g., CSV, Excel, spreadsheet, statistics, pivot table, .xlsx). This would match far too many possible user requests.	1 / 3
Distinctiveness Conflict Risk	'Analyzes data files' is extremely generic and would conflict with virtually any skill that touches data — spreadsheet tools, database tools, visualization tools, statistical analysis tools, etc.	1 / 3
	Total	4 / 12 Passed

Validation

90%

Warnings & errors only

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

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
description_field	'description' is very short (19 chars), consider making it more detailed	Warning

	Total	10 / 11 Passed

Repository: cisco-ai-defense/skill-scanner
Commit: ff708ea

Reviewed: about 1 month ago

Table of Contents

Discovery Implementation Validation

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