DeepSeek Harness plugin

dsh-benchmark

Reproducible deterministic benchmark evidence for DSH tools and plugins

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Source facts

Repository
dongsheng123132/dsh-benchmark
Latest update
Aug 15, 2026
Category
Development & Runtime
GitHub stars
3
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/dongsheng123132/dsh-benchmark
Plugin: dsh-benchmark
Author: dongsheng123132

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only

dsh-benchmark

![CI](https://github.com/dongsheng123132/dsh-benchmark/actions/workflows/check.yml) ![MIT license](LICENSE) ![Node.js 22+](package.json) ![Awesome DSH Plugins](https://github.com/dongsheng123132/awesome-dsh-plugins#2origin-plugin-lab)

Reproducible, deterministic benchmark evidence for DeepSeek Harness tools and plugins.

This project deliberately does not duplicate dsh-batch-regression, which runs one shell command repeatedly for median/distribution statistics. dsh-benchmark defines an evidence protocol around fixed cases: explicit target and suite revisions, file-derived target fingerprints, bounded argv-only subprocesses, raw measurements, versioned deterministic scoring, content-addressed reports, and baseline regression comparison.

The first release evaluates commands and JSONL runners, not subjective LLM quality.

Version 0.2.0 is a formal Codex plugin and standalone proof-only MCP server, and uses the namespace export shape required by the stock DSH Web Loader. A real Cordis boot regression test guards that loader contract.

Adjacent benchmark skills often grade Skill or LLM quality. This project stays at the deterministic execution-evidence layer: fixed target revisions and cases, raw bounded measurements without raw business output, versioned scoring, content-addressed reports, and baseline regression decisions.

Evidence model

An explicit manifest freezes:

  • suite name and case revision;
  • target name, claimed revision, and files used to recompute its fingerprint;
  • executable, constrained working directory, warmup/repeat counts, timeout, output cap, and concurrency cap;
  • fixed argv and optional JSONL stdin for every case;
  • expected exit code, stdout/stderr SHA-256, and optional JSONL line count;
  • scorer version, minimum pass rate, output-stability rule, and maximum median-latency regression.

Each run records warmup and measured observations separately: duration in nanoseconds, exit code, signal, timeout/output-limit state, output byte counts and hashes, JSONL validity, and every expectation check. Raw argv, stdin, stdout, stderr, inherited environment, timestamps, and hostnames are excluded from reports.

Safety model

  • shell: false; no command strings or shell interpolation.
  • node maps to the current absolute process.execPath. Other executables must be explicit workspace-relative regular files; PATH lookup is not used.
  • cwd, target files, manifests, reports, and artifact directories cannot escape workspaceRoot through traversal or symlinks.
  • Child processes receive a minimal deterministic environment instead of inherited secrets.
  • Timeout, captured-output bytes, and concurrency are mandatory bounded manifest values.
  • Secret-bearing manifest fields such as tokens, cookies, authorization, credentials, and custom environment secrets are rejected.
  • Reports contain hashes and measurements, not command inputs or output bodies.
  • Artifact writes are restricted to explicit artifactDir, content addressed, exclusive, and verified by read-back SHA-256.

Run only trusted benchmark executables. The isolation above prevents accidental shell expansion and environment leakage; it is not an OS sandbox for malicious code.

Install in DSH

dsh plugin --profile benchmark add github:dongsheng123132/dsh-benchmark

The bundle registers:

  • dsh_benchmark_inspect — inspect protocol metadata and fingerprints without execution.
  • dsh_benchmark_run — run fixed cases and write a content-addressed report.
  • dsh_benchmark_compare — compare current and baseline reports with manifest thresholds.

MCP

.mcp.json declares a standalone stdio MCP server:

  • benchmark_manifest_lint validates an inline manifest and returns only identifiers, bounded policies and hashes of runner/case inputs.
  • benchmark_report_address recomputes the exact report SHA-256 and returns a bounded summary while rejecting raw-output and secret-bearing fields.

MCP accepts bounded inline JSON, never executes a command, and never reads or writes the filesystem. Actual benchmark execution remains available only through the workspace-bounded DSH tool and CLI surfaces.

CLI

dsh-benchmark inspect --root /workspace --manifest benchmark.json

dsh-benchmark run \
  --root /workspace \
  --manifest benchmark.json \
  --artifact-dir benchmark-artifacts

dsh-benchmark compare \
  --root /workspace \
  --manifest benchmark.json \
  --baseline benchmark-artifacts/baseline.json \
  --current benchmark-artifacts/current.json \
  --artifact-dir benchmark-comparisons

Exit code 0 means pass. 2 means a report/comparison was written but its scorer failed. 1 means a manifest or operational error.

Manifest example

[examples/benchmark.example.json](examples/benchmark.example.json) benchmarks a fixed JSONL runner. Run it from this repository:

node bin/dsh-benchmark.mjs run \
  --root . \
  --manifest examples/benchmark.example.json \
  --artifact-dir artifacts

Arguments and JSONL values can contain ordinary test data, but the report stores only their SHA-256 fingerprints. Do not place real secrets in a benchmark manifest.

Develop

npm test
npm run check
npm run smoke:plugin
npm run smoke:mcp
python C:/Users/ZhuanZ/.codex/skills/.system/plugin-creator/scripts/validate_plugin.py .

Requires Node.js 22+. No runtime dependency or install lifecycle script is used beyond the optional DSH tools SDK peer.

License

MIT