Shared TokenCheat report
Heuristic scoring — not financial advice.
Context efficiency score
50
Est. monthly savings (combined heuristics): $14
Findings
Caching coverage is 30% — room to improve.
Keep system prompts stable; avoid one-off prompt edits that bust cache.
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.
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 choice matches typical coding workloads.
Use a tiered model policy: router for simple edits, premium model for refactors.
System prompt is 2552 words — dominates every request.
Split into scoped skills files; keep root prompt under a few hundred words.
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
Lines of 40+ characters repeated verbatim were removed after their first occurrence.
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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