jbvc/content-hash-cache-pattern
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
61
61%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
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 identifies a clear technical niche (content-hash-based caching for file processing) with distinctive architectural details, but it reads like a feature list rather than a skill selection guide. It lacks explicit trigger guidance ('Use when...') and natural user-facing keywords, making it difficult for Claude to know when to select this skill from a large pool.
Suggestions
Add an explicit 'Use when...' clause, e.g., 'Use when implementing caching for file processing, avoiding redundant computation on unchanged files, or when the user mentions memoization, content hashing, or cache invalidation.'
Include natural trigger terms users would say, such as 'speed up file processing', 'skip unchanged files', 'avoid reprocessing', 'memoize results', or 'cache invalidation'.
List concrete actions the skill teaches, e.g., 'Implements content-addressed caching, generates SHA-256 file hashes, separates cache logic into service layers, and auto-invalidates stale entries.'
| Dimension | Reasoning | Score |
|---|---|---|
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' caps completeness at 2, and the 'what' is also somewhat vague on concrete actions, warranting a 1. | 1 / 3 |
Trigger Term Quality | Includes some relevant terms like 'cache', 'file processing', 'SHA-256', and 'content hashes', but these are fairly technical. Missing natural user phrases like 'speed up', 'avoid reprocessing', 'memoize', or 'skip unchanged files' that users would actually say. | 2 / 3 |
Distinctiveness Conflict Risk | The combination of SHA-256 content hashing, path-independent caching, and service layer separation creates a very specific niche that is unlikely to conflict with other skills. This is clearly distinguishable from general caching or file processing skills. | 3 / 3 |
Total | 8 / 12 Passed |
Implementation
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 and clear design rationale. Its main weaknesses are moderate redundancy (overlapping 'When to Activate'/'When to Use' sections, design decisions restating inline comments) and lack of explicit validation steps in the workflow. The pattern is well-explained but could be tighter.
Suggestions
Merge the 'When to Activate' and 'When to Use'/'When NOT to Use' sections into a single concise section to eliminate redundancy.
Add an explicit validation step after cache writes (e.g., read-back verification or a note about testing serialization roundtrips) to strengthen workflow clarity.
Remove the 'Key Design Decisions' table since each rationale is already stated inline next to the relevant code — or keep only the table and remove inline explanations.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill has some redundancy — 'When to Activate' and 'When to Use' sections overlap significantly, the 'Key Design Decisions' table restates rationale already given inline, and some best practices repeat points made in the code comments. However, it's not egregiously verbose and avoids explaining basic concepts Claude already knows. | 2 / 3 |
Actionability | Provides fully executable Python code for every component: hashing, cache storage, cache reading, and the service layer wrapper. Code is copy-paste ready with proper imports, type hints, and error handling. Anti-patterns show concrete bad examples alongside the good patterns. | 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 sequence with validation checkpoints. For a caching pattern that involves file I/O and serialization, there's no guidance on verifying cache integrity after writes or validating serialization/deserialization roundtrips. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear headers and sections, but it's a monolithic file (~120 lines of substantive content) with no references to external files. The design decisions table and best practices could be separate references. However, for a pattern-focused skill of this size, the inline approach is borderline acceptable. | 2 / 3 |
Total | 9 / 12 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 — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Reviewed
Table of Contents