About cachemiss
cachemiss analyzes CI cache misses for developers investigating workflow caching. It uses the cache key template and per-run outcomes to classify causes and produce a JSON report.
Key features
- 01Extract hashed inputs from cache keys
- 02Count hits, partial hits, and misses
- 03Classify causes for non-hit runs
- 04List changed hashed files
- 05Validate input and produce JSON reports
Use cases
- 01Find why a CI run missed its cache
- 02Identify files repeatedly invalidating a cache
MCP support
The MCP server exposes analyze_cache_miss, which accepts a cache key template, run outcomes, and optional restore keys, then returns a diagnostic report.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
1Saved tool list · updated 1w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| runs | array | Yes | Cache outcomes to analyse (at least one) |
| key_template | string | Yes | Cache key as written in the workflow, e.g. with hashFiles('...') segments |
| restore_keys | array | No | Restore-key prefixes configured in the workflow (optional; echoed in the report) |
Details
From the project READMEcachemiss
The cache was supposed to make CI fast, so why did that run miss? cachemiss takes the cache key template exactly as it appears in your workflow, together with what actually happened on each run, and works out which misses were inevitable and which ones nobody can explain:
- Hashed inputs — the glob patterns pulled out of the
template's
hashFiles('...')/hashFiles("...")segments, in order of appearance, duplicates removed - Outcome counts — how many runs hit exactly, fell back to a restore key, or missed outright, plus the hit rate (hits over total runs, rounded to four decimal places)
- A cause per non-hit run — a partial run is
exact_key_miss_restore_hit; a miss whose changed files touch a hashed input ishashed_input_changed, with the matching files listed; anything else isunexplained_miss - Cause tallies — counts per cause, most frequent first
(ties broken alphabetically), feeding the report's
most_common_causeand overalldiagnosis; an all-hit history diagnoses ascache_healthywith a null most common cause - Changed hashed files — the sorted union of every hashed input that changed on a miss run, so you can see at a glance which lockfile or manifest keeps busting the cache
Glob matching follows three rules: a file matches a pattern
when it equals the pattern exactly; when a pattern starts
with **/, a file matches when it is the remainder of the
pattern or ends with / plus that remainder; and a pattern
containing * matches segment by segment (splitting on
/), where * covers exactly one segment and segment
counts must be equal. Matching is case-sensitive.
Everything is computed locally from the inputs you supply:
no network, no log scraping, no configuration. Invalid
input — an empty key template, a run without an outcome, an
outcome outside hit / partial / miss, a non-string
changed file — is rejected with an error naming the
offending path, and no partial report is produced.
CLI
npx @reneturcios/cachemiss analyze --input args.json
npx @reneturcios/cachemiss --version
args.json contains the full arguments object:
{
"key_template": "${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}",
"runs": [
{ "run_id": "run-201", "outcome": "hit" },
{
"run_id": "run-202",
"outcome": "miss",
"changed_files": ["apps/web/package-lock.json", "src/index.ts"]
},
{ "run_id": "run-203", "outcome": "partial" }
],
"restore_keys": ["linux-node-"]
}
changed_files is optional per run, and restore_keys is
optional overall (it is echoed into the report). The report
is printed as JSON.
Exit codes: 0 on success, 1 on a runtime error
(including an unreadable or invalid input file, or invalid
input), 2 on a usage error.
MCP server
npx -y @reneturcios/cachemiss mcp
MCP client config:
{
"mcpServers": {
"cachemiss": {
"command": "npx",
"args": ["-y", "@reneturcios/cachemiss", "mcp"]
}
}
}
Tools
-
analyze_cache_miss— Diagnose CI cache misses from a key template and per-run outcomes.key_template(string, required, non-empty) — the cache key as written in the workflowruns(array, required, at least one) — runs as{run_id, outcome, changed_files?}objects, whereoutcomeis one ofhit,partial,missrestore_keys(array of strings, optional) — the restore-key prefixes configured in the workflow
Returns
{run_count, hits, partials, misses, hit_rate, hashed_inputs, restore_keys, cause_counts, misses_detail, changed_hashed_files, most_common_cause, diagnosis}.
Docker
docker run -i ghcr.io/cloudcorprecords/cachemiss
docker run --rm -v "$PWD:/w" ghcr.io/cloudcorprecords/cachemiss analyze --input /w/args.json
Development
npm install
npm run build # tsc -> dist/
npm test # tsx --test test/*.test.ts (pure local, no network)
npm run dev # run the CLI from source
License
MIT — Copyright (c) 2026 Rene Turcios
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.