SKILLEMALL.ai

CD dsh-session-projection

Use when creating, extending, or reviewing a DeepSeek Harness session projection, or migrating session-derived recovery state to one.

The skillemall take

A skill for working with DeepSeek Harness session projections—meant for creating, extending, and migrating recovery state. Promises help with session data manipulation within the DeepSeek ecosystem.

One file with 1182 tokens inside. No critical or high-severity issues found, but broken references point to missing files—the skill references things that don't exist. Code quality scores 67, process score 35. Never ran on models, no sandbox testing. Claims to work across all platforms.

Install only if you specifically need these DeepSeek Harness operations and can handle missing dependencies yourself. For casual use, the overhead outweighs the benefit.

deepseek-ai/deepseek-harness Agent Skills author: deepseek-ai 1 file body ≈ 1 182 tokens Open the sourcegithub.com↗ analyzed 4 d ago

Keep recoverable session facts in Projection and expose them through their owning services.

As a process D 35/100 · Unfinished process — References files that are not bundled: ../../../packages/session/session-projection/README.md, ../../../docs/defensive-patterns/conversation-and-session.md

AnalyzerWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: ../../../packages/session/session-projection/README.md, ../../../docs/defensive-patterns/conversation-and-session.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: ../../../packages/session/session-projection/README.md
  • warning missing-ref reference to a missing file: ../../../docs/defensive-patterns/conversation-and-session.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: ../../../packages/session/session-projection/README.md, ../../../docs/defensive-patterns/conversation-and-session.md
  • 0Tools and files. 2 referenced file(s) missing: ../../../packages/session/session-projection/README.md, ../../../docs/defensive-patterns/conversation-and-session.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 10 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1182 tokens
  • 100Progress reporting. Reports progress

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)
  • +4Structure: 2 headings, hard to scan
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 133: enough signal without eating the budget
  • +3Step-by-step instructions: 10 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.