cache-efficiency SKILL.md skillA

cache-efficiency from hoangsonww/claude-code-agent-monitor is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hoangsonww/claude-code-agent-monitor/cache-efficiency@git:20260804.9eab0d7

Pins git:20260804.9eab0d7 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
hoangsonww/claude-code-agent-monitor
Path
plugins/ccam-analytics/skills/cache-efficiency/SKILL.md
Versions recorded
2
Latest version
git:20260804.9eab0d7, committed Aug 4, 2026
First version recorded
Jun 25, 2026
Size
3,881 bytes
Repository stars
1,159
License
MIT

Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (total_cache_read / (total_cache_read + total_input)), cache_write vs cache_read reuse, cache-read vs cache-write spend, and the sessions with the poorest reuse. Pulls token totals from /api/analytics, per-session detail from /api/sessions, and dollar splits from /api/pricing/cost. Use when diagnosing cache spend or deciding whether prompt caching is paying off.

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

# Cache Efficiency

Diagnose whether prompt caching is actually saving money, and where it is not.

## Input

The user provides: **$ARGUMENTS**

This may be: empty (analyze the whole fleet), "today" / "this week" / a date range, a session ID to scope the analysis, or a target like "hit rate > 80%". When empty, analyze all data from `/api/analytics`.

## Data Sources

| Endpoint | Returns |
|----------|---------|
| `GET /api/analytics` | `tokens.total_input`, `tokens.total_output`, `tokens.total_cache_read`, `tokens.total_cache_write` (baselines pre-summed), plus `daily_sessions` |
| `GET /api/sessions?limit=200` | Session list — each has model, cwd, started_at, ended_at, inline `cost`, metadata (JSON: usage_extras with cache token detail) |
| `GET /api/sessions/{id}` | Full session detail with nested agents and events, for drill-down on a flagged session |
| `GET /api/pricing/cost` | `{ total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] }` — used to price cache read vs write spend |

### How cache economics work

```
cache_hit_rate   = total_cache_read / (total_cache_read + total_input)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hoangsonww/claude-code-agent-monitor/cache-efficiency@sha256:6082e3cddc825a91

The line at the top of this page pins the label git:20260804.9eab0d7, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4pqn6kbm66vwge7g.svg)](https://markdownregistry.com/a/art_4pqn6kbm66vwge7g)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jun 25, 2026 and Aug 4, 2026, about one every 41 days. Its first recorded version is graded B and its latest A.

versioncommittedcommitsizeaudit
git:20260804.9eab0d7 latest2026-08-04 9eab0d7 3,881 BA view · diff
git:20260625.879bbc22026-06-25 879bbc2 3,858 BB view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3881 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

GitHub

hoangsonww/claude-code-agent-monitor · 1,159 stars · license MIT · pushed 2026-11-08 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_4pqn6kbm66vwge7g
GET https://markdownregistry.com/api/v1/resolve?ref=hoangsonww/claude-code-agent-monitor/cache-efficiency
GET https://markdownregistry.com/api/v1/blob/6082e3cddc825a915ba16b5873875ed14dff86496c1705678d371cffbe709112

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.

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