agent-cache
Skill1 starsChanged 30 days agoMITView on GitHub
Instructions for evaluating upstream agent-run caching with exact hashes, code fingerprints and fuzzy matches. Use for repeated runs with comparable inputs; verify cache validity before skipping execution. Not for project scan caching (cache) or model-answer caching (response-cache).
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- zedarvates/botte-secreteedited, first seen Aug 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- zedarvates/botte-secrete★ 230% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Files
Agent Cache
Package scope and prerequisites
This catalog ships instructions, not the executable runtime. Python modules, scripts, local services and optional tools named below must be installed separately from the upstream project. Check their availability before running commands; if they are missing, explain the prerequisite instead of claiming execution or results. The host agent may use model tokens while following these instructions.
Commands, APIs and runtime behavior described below are conditional examples for a compatible upstream installation; they are not evidence of execution in this package.
Evaluate whether a verified upstream cache entry can replace a repeated agent run. Reuse requires compatible inputs, analysis settings and dependencies; semantic similarity alone is not proof that the result is interchangeable. Include relevant environment settings, governing rules and tool/runtime versions in the cache identity, or invalidate the entry when they change. Unchanged source alone does not establish an unchanged result.
Stratégies de matching
| Stratégie | Description | Quand |
| Exact hash | Same validated inputs and analysis configuration | Tâches déterministes |
| Fingerprint | Unchanged code plus compatible analysis inputs | Audit, linting |
| Fuzzy match | Chevauchement lexical approximatif; pertinence à vérifier | Questions similaires |
Usage
python -m skills.agent_cache.cli check "query" --agent audit
python -m skills.agent_cache.cli store "query" "response" --agent fix
python -m skills.agent_cache.cli statsDoes it work?
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