Cache Guard

Cache Guard — stop paying 700× overhead on context rewrites

The one mechanism to understand

Prompt cache is a prefix match with three tiers: tools → system → messages. Reads from cache cost 0.1× the base input price; writes cost 1.25× — a 12.5× spread. A long conversation is cheap as long as every call re-reads the cached prefix.

Any image anywhere in the request invalidates the entire messages tier. The next call rewrites the whole conversation history at the 1.25× write price. The rewrite cost equals the current context size — in an 800k-token session, one glance at a screenshot costs ~800k cache-write tokens, even though the image itself is ~1–2k tokens. Measured in production: 91% of a session's cost was image-triggered rewrites; the images themselves were 0.13% of the tokens.

Other full-rewrite triggers: cache TTL expiry (>5 min idle, next wake rewrites everything), model switch, tool-set / MCP change mid-session, editing earlier history. Details and pricing math: references/mechanism.md.

Rules

R1 — Batch image reads into one message

Reading 1 image and reading 10 images cost the SAME rewrite. Never look at screenshots one-by-one across turns. Accumulate paths, then read them all with parallel Read calls in a single message, and draw every conclusion in that turn.

R2 — Look once, write it down, never re-read

Immediately after viewing images, append findings to a notes file (e.g. qa-notes.md): filename → verdict → required fix. From then on cite the notes. Re-reading an image "to double-check" repeats the full-context rewrite.

R3 — Delegate vision to a subagent (best option when context is large)

A subagent has its own small, isolated context. Images it reads rewrite ITS few-k tokens, not your few-hundred-k, and its intermediate noise never enters your history. Use the Task/Agent tool (general-purpose works) with:

View these images and reply in TEXT ONLY — never return image data:
-  — check: 
-  — check: 
Reference material (text only, if the check needs it): 
For each image: PASS/FAIL, one-line reason, exact fix needed if FAIL.

The subagent's eyes are the same model — verdict quality depends on how concretely you state the criteria, so pass the "what does correct look like" context as text. Main session receives a short text verdict; its cached prefix stays intact. (Subagent calls may themselves skip caching — irrelevant: their context is tiny.)

R4 — If you must read inline, read early

Rewrite cost = context size at that moment. Front-load visual checks; don't defer them to the end of a long session. If the session is already huge, prefer R3 or a fresh session over inline reads.

R5 — Keep bulk data out of context

• Verify renders/builds by exit code, file size, or a grep'd summary — not

by dumping output into the conversation.

• Read only the lines you need (offset/limit); never cat a large file or

paste base64.

• Write large intermediate results to files; pass paths, not contents.

R6 — Session hygiene for long-running agents

• Work in continuous bursts. A giant session that idles >5 min pays a full

rewrite on every wake — for periodic monitors, run each round as a fresh one-shot session (state on disk) instead of waking a huge conversation.

• Clear/restart at work-unit boundaries in image-heavy workflows; persistent

state belongs in files, not in the transcript.

• Never switch model or add/remove tools (incl. MCP) mid-session — either one

invalidates the whole cache.

Decision table

| Situation | Do | |---|---| | Context small (~150k) OR repeated visual checks | Delegate to subagent (R3) | | Periodic loop with screenshots (monitor, render-watch) | Fresh one-shot session per round (R6) | | Image already viewed earlier | Use notes; do NOT re-read (R2) | | Need render/build verification | Exit code / file size / grep, no dumps (R5) |

Verify it's working

usage on each API response tells the truth: healthy sessions show cache_read_input_tokens ≫ cache_creation_input_tokens (aim ≥10:1; a write:read ratio near 1:3 or worse means thrash). To audit past sessions from transcripts:

node scripts/audit-session.mjs --hours 5          # rank recent sessions by burn
node scripts/audit-session.mjs --detail     # per-call forensics for one session

Flags to look for in the output: IMG-REWRITE (image nuked the messages tier) and TTL-WAKE (idle >5 min, whole context rewritten on wake).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: 0x0funky
• Source: 0x0funky/claude-cache-guard
• License: MIT

Install and usage instructions live in the source repository linked above.