SKILLEMALL.ai

CD network-ai

Local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context. The bundled Python scripts make no network calls and have zero third-party dependencies. The parent repository also contains a TypeScript engine (not included in this skill bundle).

ClawHub Agent Skills author: Jovan Marinovic v5.15.4 MIT-0 11 files · 6 scripts body ≈ 11 043 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

Local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context.

As a process D 42/100 · Unfinished process — References files that are not bundled: scripts/*.py, scripts/clawhub-check.js

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
99
Quality 40%
72
Run on models
none yet
Process rating
D
42/100
Unfinished process
References files that are not bundled: scripts/*.py, scripts/clawhub-check.js
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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 Risky intent intent-offensive-security SKILL.md:746
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    | **HMAC-signed grant tokens** | Since v5.5.2, every grant record carries `_sig` (HMAC-SHA256 over canonical fields); `validate_token.py` rejects tampered records — privilege escalation via forged gra
    detector

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 11043 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/*.py
  • warning missing-ref reference to a missing file: scripts/clawhub-check.js
  • note edit-residue the text marks something as outdated (lines 739, 743): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: scripts/*.py, scripts/clawhub-check.js
  • 0Tools and files. 2 referenced file(s) missing: scripts/*.py, scripts/clawhub-check.js
  • 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. 21 mutating operations with no state check
  • 40Execution cost. Instruction body is 11043 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 85Steps. 52 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 18 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 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
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 338: enough signal without eating the budget
  • +4Structure: 65 headings
  • +3Step-by-step instructions: 52 items
  • +4Has examples (34 code blocks)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

In the sandbox Скрипты не запустились

The skill's scripts were run in a throwaway machine: no network, fake keys in the home directory, a tracer watching. We wrote down what they did. Reaching for the network or for secrets caps the technical grade at C; a quiet run adds no points.

Запущено 6 скриптов; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

Ни один не дошёл до работы — им не хватило зависимостей, аргументов или файлов. Это не отзыв о поведении: наблюдать было не за чем.

scripts/blackboard.pyне запустился: blackboard.py: error: the following arguments are required: command
scripts/check_permission.pyне запустился: check_permission.py: error: --agent is required for permission checks
scripts/context_manager.pyне запустился: context_manager.py: error: the following arguments are required: command
scripts/revoke_token.pyне запустился: usage: revoke_token.py [-h] [--cleanup] [--list-expired] [--json] [--env ENV]
scripts/swarm_guard.pyне запустился: swarm_guard.py: error: the following arguments are required: command
scripts/validate_token.pyне запустился: validate_token.py: error: the following arguments are required: token

28 Oct 2026

External checks

ClawHub: clean
This skill is a disclosed local orchestration helper that writes coordination and audit state locally, with no artifact-backed evidence of hidden network, shell, destructive, or exfiltration behavior.
LLM: benign (high) · VirusTotal: · 29 Sept 2026