SKILLEMALL.ai

BF odsh-interop

ODSH Bridge cross-container collaboration protocol — how the OpenClaw agent routes tasks between itself and a DeepSeek Harness (DSH) execution layer by task weight and predicted token cost: task envelopes, bridge zones, notification channel rules, optional read-only SQLite audit ledger

ClawHub Agent Skills author: MikoRibbit v1.2.5 MIT-0 3 files body ≈ 2 698 tokens Open the sourceclawhub.ai analyzed 3 d ago

ODSH Bridge cross-container collaboration protocol — how the OpenClaw agent routes tasks between itself and a DeepSeek Harness (DSH) execution layer by task…

As a process F 48/100 · Will not run — References files that are not bundled: scripts/dsh-entrypoint.sh

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
54
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: scripts/dsh-entrypoint.sh
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: ODSH Bridge cross-container collaboration protocol — how the OpenC… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/dsh-entrypoint.sh
  • note frontmatter-key unknown frontmatter key "author_email"
  • note frontmatter-key unknown frontmatter key "maintainers"
  • note frontmatter-key unknown frontmatter key "categories"

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: scripts/dsh-entrypoint.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/dsh-entrypoint.sh
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 9 mutating operations with no state check
  • 100Steps. 39 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2698 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • +2Single-language instructions
  • +3Description length 286: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
This skill is disclosed as an OpenClaw-to-DSH bridge, but it gives broad automatic delegation guidance for an always-on execution layer that can run files, commands, network work, and enabled desktop automation.
LLM: suspicious (high) · 26 Aug 2026