SKILLEMALL.ai

AF workplace

Manage multiple workplaces (project directories) with multi-agent orchestration, isolated memory, and inter-agent communication. Use when the user mentions: workplace init/list/switch/scan/status/agents/export/import, managing projects, switching between codebases, multi-agent workflows, agent handoff, kernel agent, workspace structure, deploy environments, or any variation of "workplace" commands. Also triggered by /workplace slash command. Auto-detects .git folders as workplaces. Each workplace has its own agents, memory, skills, and deployment configs in a .workplace/ directory. Syncs context to Cursor, Claude Code, and OpenCode. Interactive Telegram/Discord UI with inline buttons for switching workplaces, starting agents, and deploying.

ClawHub Agent Skills author: farmerwu v1.0.0 20 files · 4 scripts body ≈ 2 399 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 51/100 · Will not run — References files that are not bundled: assets/bin/workplace-server-{os}-{arch}

ProcedureTelegramDiscordAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
81
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: assets/bin/workplace-server-{os}-{arch}
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: workplace (ClawHub)

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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-pipe-to-shell scripts/build.sh:18
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)
    echo "❌ Rust toolchain not found. Install via: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh"
    detectorcode literal

Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/bin/workplace-server-{os}-{arch}

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: assets/bin/workplace-server-{os}-{arch}
  • 0Tools and files. 1 referenced file(s) missing: assets/bin/workplace-server-{os}-{arch}
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 15 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 45 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2399 tokens
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (9 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 750: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
The skill mostly matches its workplace-management purpose, but it needs Review because it has a confirmed command-injection bug and broad persistent workspace mutation.
LLM: suspicious (high) · VirusTotal: suspicious · 27 May 2026