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CD dsh-speed-up-perf

Use when investigating or optimizing DeepSeek Harness performance, designing realistic synthetic benchmarks or CI performance gates, profiling long Sessions or Web responsiveness, or turning performance PR evidence into measured behavior-preserving fixes.

The skillemall take

A skill for profiling and optimizing DeepSeek Harness performance—promises help with long sessions, synthetic benchmarks, and CI gates. The files have broken references and missing dependencies, which immediately raises questions about usability. One file totaling 2958 tokens with no scripts suggests documentation rather than a working tool. No model runs, no sandbox tests. Quality score 68 and process score 38 indicate structural issues. Install only if you're willing to fix broken links and fill gaps yourself—as-is, it won't run.

deepseek-ai/deepseek-harness Agent Skills author: deepseek-ai MIT 1 file body ≈ 2 959 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Use when investigating or optimizing DeepSeek Harness performance, designing realistic synthetic benchmarks or CI performance gates, profiling long Sessions…

As a process D 38/100 · Unfinished process — References files that are not bundled: ../../../AGENTS.md, ../../../docs/architecture.md, ../../../docs/testing.md

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
38/100
Unfinished process
References files that are not bundled: ../../../AGENTS.md, ../../../docs/architecture.md, ../../../docs/testing.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../../../AGENTS.md
  • warning missing-ref reference to a missing file: ../../../docs/architecture.md
  • warning missing-ref reference to a missing file: ../../../docs/testing.md
  • warning missing-ref reference to a missing file: ../../../docs/defensive-patterns/README.md
  • warning missing-ref reference to a missing file: ../dsh-ci-test-reliability/SKILL.md
  • warning missing-ref reference to a missing file: ../../notes/archived/process/2026-09-06-evidence-driven-performance-skill.md
  • warning missing-ref reference to a missing file: ../../../benchmarks/AGENTS.md
  • warning missing-ref reference to a missing file: ../../notes/implemented/testing/2026-09-04-session-open-performance-gate.md
  • warning missing-ref reference to a missing file: ../../notes/README.md
  • warning missing-ref reference to a missing file: ../dsh-pre-push-checks/SKILL.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: ../../../AGENTS.md, ../../../docs/architecture.md, ../../../docs/testing.md
  • 0Tools and files. 10 referenced file(s) missing: ../../../AGENTS.md, ../../../docs/architecture.md, ../../../docs/testing.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2959 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 255: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 12 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.