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tdg-personal/content-hash-cache-pattern

Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.

48

Quality

61%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

Quality

Content

64%

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

This is a solid, actionable skill with excellent executable code examples covering the complete content-hash caching pattern. Its main weaknesses are moderate redundancy across sections (When to Activate vs When to Use, inline rationale vs design decisions table) and a lack of explicit validation/verification steps for the caching workflow. The pattern is well-explained but could be tightened by ~30% without losing clarity.

Suggestions

Merge 'When to Activate' and 'When to Use/When NOT to Use' into a single concise section to eliminate redundancy

Remove the 'Key Design Decisions' table since each rationale is already explained inline next to the relevant code

Add a brief validation step or smoke test showing how to verify the cache is working correctly (e.g., process a file twice and confirm cache hit logging)

DimensionReasoningScore

Conciseness

The content is mostly efficient with good code examples, but includes some redundancy: 'When to Activate' and 'When to Use' sections overlap significantly, the 'Key Design Decisions' table repeats rationale already explained inline, and some best practices restate what the code already demonstrates (e.g., chunking, corruption handling).

2 / 3

Actionability

Provides fully executable Python code for every component: hashing, cache entry dataclass, read/write operations, and the service layer wrapper. Anti-patterns include concrete bad code examples. The code is copy-paste ready and covers the complete pattern end-to-end.

3 / 3

Workflow Clarity

The service layer wrapper implicitly shows the workflow (hash → check cache → extract → store), but there's no explicit step-by-step integration guide or validation checkpoint. For a pattern involving file I/O and serialization, there's no guidance on verifying cache correctness or handling edge cases like disk full scenarios.

2 / 3

Progressive Disclosure

The content is well-structured with clear headers and logical sections, but it's a monolithic document (~130 lines of substantive content) with no references to external files. The design decisions table and anti-patterns could be separated or condensed. However, given no bundle files exist, the single-file approach is acceptable but borders on too much inline content.

2 / 3

Total

9

/

12

Passed

Description

40%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is technically specific about its architectural approach (SHA-256 hashing, path-independent caching, service layer separation) which gives it good distinctiveness, but it lacks a 'Use when...' clause and reads more like a feature list of an implementation pattern than a skill description. It would benefit from explicit trigger guidance and more natural language keywords that users would actually use when they need this capability.

Suggestions

Add a 'Use when...' clause with trigger scenarios, e.g., 'Use when the user wants to cache file processing results, avoid redundant computation, or implement content-based cache invalidation.'

Include natural user-facing keywords like 'performance', 'avoid reprocessing', 'memoize', 'speed up file operations', or 'cache invalidation' that users would naturally say.

List concrete actions the skill enables, e.g., 'Implements content-hash-based caching, generates cache keys from file contents, separates caching logic into service layers, and automatically invalidates stale cache entries.'

DimensionReasoningScore

Specificity

Names the domain (caching file processing results) and mentions specific techniques (SHA-256 content hashes, service layer separation), but doesn't list multiple concrete user-facing actions — it reads more like an architectural description than a list of capabilities.

2 / 3

Completeness

Describes what the skill does (caching with content hashes) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, missing 'Use when' should cap completeness at 2, and the 'what' is also only partially clear, so this scores a 1.

1 / 3

Trigger Term Quality

Includes some relevant terms like 'cache', 'SHA-256', 'content hashes', and 'file processing', but these are fairly technical. Missing natural user phrases like 'speed up', 'avoid reprocessing', 'memoize', or 'performance optimization' that users might actually say.

2 / 3

Distinctiveness Conflict Risk

The combination of SHA-256 content hashing, path-independent caching, auto-invalidation, and service layer separation creates a very specific niche that is unlikely to conflict with other skills.

3 / 3

Total

8

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Reviewed

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