Shared TokenCheat report

Heuristic scoring — not financial advice.

Context efficiency score

50

Est. monthly savings (combined heuristics): $14

Findings

cachingcritical

Caching coverage is 30% — room to improve.

Keep system prompts stable; avoid one-off prompt edits that bust cache.

context bloathigh

System prompt is very large (~2552 words) — heavy fixed input every request.

Move rarely-used rules to docs and link from a short root CLAUDE.md / AGENTS.md.

mcp overheadlow

12 tool calls/session on average — large tool JSON payloads inflate input tokens.

Narrow tool surface, summarize tool results before re-prompting, and use cheaper models for tool routing.

model routinglow

Model choice matches typical coding workloads.

Use a tiered model policy: router for simple edits, premium model for refactors.

system prompthigh

System prompt is 2552 words — dominates every request.

Split into scoped skills files; keep root prompt under a few hundred words.

retrieval efficiencycritical

150K-line repo with full-file reads — agents ingest thousands of irrelevant lines per task.

Use jCodeMunch or a tree-sitter retrieval tool to read only the symbols agents need — the vendor reports up to 95% token reduction.

Instruction-file optimization

Before

4,927

tokens / session

After

4,908

tokens / session

Potential

19

19 applied + 0 flagged

Top corrections

Removed 1 exact-duplicate line~13 tokapplied

Lines of 40+ characters repeated verbatim were removed after their first occurrence.

Compressed whitespace and filler phrasing~6 tokapplied

0 filler phrases rewritten to imperatives ("please make sure to…" → direct instruction); repeated blank lines, trailing whitespace, and duplicate separators collapsed.

Optimized file — review before use

Conservative rewrites only. Nothing was removed that couldn't be verified as safe.

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TokenCheat audit · score 50 · −19 tokens found