content-hash-cache-pattern SKILL.md skillA
content-hash-cache-pattern from affaan-m/ecc is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add affaan-m/ecc/content-hash-cache-pattern@git:20260607.4ad5756Pins git:20260607.4ad5756 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- affaan-m/ecc
- Path
.kiro/skills/content-hash-cache-pattern/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260607.4ad5756, committed Jun 7, 2026
- Size
- 5,604 bytes
- Repository stars
- 299,696
- License
- MIT
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Content-Hash File Cache Pattern
Cache expensive file processing results (PDF parsing, text extraction, image analysis) using SHA-256 content hashes as cache keys. Unlike path-based caching, this approach survives file moves/renames and auto-invalidates when content changes.
## When to Activate
- Building file processing pipelines (PDF, images, text extraction)
- Processing cost is high and same files are processed repeatedly
- Need a `--cache/--no-cache` CLI option
- Want to add caching to existing pure functions without modifying them
## Core Pattern
### 1. Content-Hash-Based Cache Key
Use file content (not path) as the cache key:
```python
import hashlib
from pathlib import Path
_HASH_CHUNK_SIZE = 65536 # 64KB chunks for large files
def compute_file_hash(path: Path) -> str:
"""SHA-256 of file contents (chunked for large files)."""
if not path.is_file():
raise FileNotFoundError(f"File not found: {path}")
sha256 = hashlib.sha256()
with open(path, "rb") as f:
while True:
chunk = f.read(_HASH_CHUNK_SIZE)
if not chunk:
break
sha256.update(chunk)
return sha256.hexdigest()
```
…Read the whole file at its exact version.
How to install
mdr add affaan-m/ecc/content-hash-cache-pattern@sha256:a220916e9a8fc40aThe line at the top of this page pins the label git:20260607.4ad5756, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_izxdvglyhf2j5gym)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 7, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5604 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
affaan-m/ecc · 299,696 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_izxdvglyhf2j5gym GET https://markdownregistry.com/api/v1/resolve?ref=affaan-m/ecc/content-hash-cache-pattern GET https://markdownregistry.com/api/v1/blob/a220916e9a8fc40a9f7532823c1634efd67fe35f74479f6de2d2d4a42c724a38
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.