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anyuer678/dsh-logtimeline
dsh-logtimeline is a tool for DeepSeek Harness. Query local log files with Chinese natural-language time expressions — LogTimeline for DeepSeek Harness.

REVIEW SCORECARD
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
Solid offline Chinese-time log query plugin with real tests and clear docs, but unverified install path and NOASSERTION
README documents a layered architecture (query.ts/runtime.ts/config.ts), Vitest integration tests running the real vendored Python, a host-assembly smoke test, typecheck/build scripts, and an upstream pytest runner, indicating strong engineering rigor.
README explicitly states no API keys, no outbound calls, read-only path-scoped access, and no log exfiltration, with no download-and-execute patterns visible; the only caveat is the NOASSERTION license and vendored GPL-3.0 code.
Solves a concrete, recurring agent pain point — resolving fuzzy Chinese time expressions like 「昨天下午」 into structured log matches with level stats — which generic grep pipelines handle poorly.
Last updated 2026-08-17 with an active repo (not archived) and pinned compatibility to the current dsh-tools 0.1.0-rc.6 line, but only 4 stars and no visible CI or release cadence evidence.
README covers prerequisites, local and community install commands, parameter tables, JSON output examples, architecture, development workflow, and security notes, though the directory's install command is listed as unknown and community install depends on future marketplace listing.
Generated by AI after reading the project README — a decision aid, not an endorsement. Neutral scores are given when information is limited.
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Query local log files with Chinese natural-language time expressions — LogTimeline for DeepSeek Harness.
dsh-logtimeline has 4 stars and 0 forks on GitHub, last updated 2026-08-17.
dsh-logtimeline is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
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