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Review a diff for over-engineering and verbosity. Terse delete-list of what to cut and the lines each saves. One-shot.
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| name | honey-review |
| description | Review a diff for over-engineering and verbosity. Terse delete-list of what to cut and the lines each saves. One-shot. |
| homepage | https://github.com/Green-PT/honey-for-devs |
| license | MIT |
Read the diff (git diff or the named range). Report only what to cut and why — the reverse of Honey's two write-levers.
itertools/pathlib/datetime, a new dependency for four lines, a reimplemented existing util.Input validation, error handling, auth, secrets handling, accessibility basics, and visual/UX polish on user-facing deliverables are not bloat. A test or assert proving non-trivial logic is not bloat. Don't suggest cutting them.
path:line — cut <what>; <one-clause why> (−N lines)
Total: −N lines across M findings.hive-reviewer's job).Example:
src/util.py:12 — cut hand-rolled flatten; stdlib itertools.chain.from_iterable does it (−9 lines)
src/api.js:40 — cut unused `opts` param; no caller passes it (−3 lines)
Total: −12 lines across 2 findings.
Compress-Cache-Retrieve huge repetitive array tool output before it hits context: keep a sample, cache the rest, leave a hash.
Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context. Keeps an informative sample — endpoints, anomalies/change-points, head/tail — drops the redundant rest to a local cache, and leaves a retrievable hash. Use when a tool returns a long uniform JSON array you must read but mostly skim, and the full set is one command away if needed. Lossy-but-recoverable.
Write less code and say less about it: YAGNI, stdlib-first, terse prose. Cuts agent token cost on every coding and writing task.
Write less code and say less about it. Applies YAGNI and stdlib/native-first so the agent writes the minimum code that needs to exist, and responds tersely — stripping filler, hedging, and pleasantries while keeping code, identifiers, and technical terms exact. Use whenever writing, modifying, refactoring, reviewing, or explaining code, or any response where output volume drives token cost — even if the user never says "minimal" or "concise". Especially in agentic coding, where the volume of generated code and prose runs up the bill.
Honey for plain Claude — the terse-prose core with no agent-harness features. Paste into a claude.ai Project's custom instructions, a Style, or an API system prompt. Strips filler, hedging, and pleasantries from every response while keeping facts, names, numbers, steps, and code exact. No tools required.
Read huge dense read-only text as PNG pages via pxpipe export: ~60-75% fewer input tokens. Lossy on exact strings; never for files you will edit.