io.github.CloudCorpRecords/cachemiss
CI cache-miss analysis: which hashed key inputs changed and why runs missed or fell back.
What can you do with io.github.CloudCorpRecords/cachemiss?
analyze_cache_miss— Diagnose CI cache misses from a
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
@reneturcios/cachemissclaude mcp add cachemiss -- npx -y @reneturcios/cachemiss@0.1.0 mcp
{
"mcpServers": {
"cachemiss": {
"command": "npx",
"args": [
"-y",
"@reneturcios/cachemiss@0.1.0",
"mcp"
]
}
}
}
ghcr.io/cloudcorprecords/cachemiss:0.1.0claude mcp add cachemiss -- docker run -i --rm ghcr.io/cloudcorprecords/cachemiss:0.1.0 mcp
{
"mcpServers": {
"cachemiss": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/cloudcorprecords/cachemiss:0.1.0",
"mcp"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
cachemiss
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
Frequently asked questions
What is io.github.CloudCorpRecords/cachemiss?
CI cache-miss analysis: which hashed key inputs changed and why runs missed or fell back.
How do I install io.github.CloudCorpRecords/cachemiss?
It runs on your machine. In Claude Code: claude mcp add cachemiss -- npx -y @reneturcios/cachemiss@0.1.0 mcp. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.CloudCorpRecords/cachemiss need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.CloudCorpRecords/cachemiss open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.CloudCorpRecords/cachemiss?
It is published by CloudCorpRecords. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.