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BF prose

OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.

ClawHub Agent Skills author: simbabuddy v1.0.0 22 files body ≈ 3 788 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 44/100 · Will not run — References files that are not bundled: examples/01-hello-world.prose, examples/28-gas-town.prose, examples/29-captains-chair.prose

ProcedurePostgreSQLAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
99
Quality 40%
60
Run on models
none yet
Process rating
F
44/100
Will not run
References files that are not bundled: examples/01-hello-world.prose, examples/28-gas-town.prose, examples/29-captains-chair.prose
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
This is a copy of a skill from another catalog; the rating counts the canonical one: prose (ClawHub)

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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration read-dotenv SKILL.md:184
    Reads a .env file
    cat .prose/.env 2>/dev/null | grep OPENPROSE_POSTGRES_URL

Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: examples/01-hello-world.prose
  • warning missing-ref reference to a missing file: examples/28-gas-town.prose
  • warning missing-ref reference to a missing file: examples/29-captains-chair.prose
  • warning missing-ref reference to a missing file: examples/37-the-forge.prose
  • warning missing-ref reference to a missing file: examples/16-parallel-reviews.prose
  • warning missing-ref reference to a missing file: examples/21-pipeline-operations.prose
  • warning missing-ref reference to a missing file: examples/22-error-handling.prose

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: examples/01-hello-world.prose, examples/28-gas-town.prose, examples/29-captains-chair.prose
  • 0Tools and files. 7 referenced file(s) missing: examples/01-hello-world.prose, examples/28-gas-town.prose, examples/29-captains-chair.prose
  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (prose) differs from the folder (open-prose)
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 47 steps
  • 100Failures and branches. 12 branches, has a failure section
  • 100Execution cost. Instruction body is 3788 tokens
  • 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 130: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: suspicious
OpenProse is a coherent multi-agent workflow skill, but it asks for enough execution, remote-loading, credential, and persistent-memory authority that users should review it carefully before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026