SKILLEMALL.ai

BF dirextalk-deployer

Deploy, resume, verify, destroy, and locally wire a production Dirextalk message server on AWS for any local agent runtime supported by dirextalk-connect. Use when installing or updating this skill itself; install the versioned npm package `dirextalk-deployer` and use its CLI to place the skill in the runtime-specific global path from references/agent-targets.md unless the user explicitly asks for a project-local installation.

ClawHub Agent Skills author: Liyanan v1.0.1 MIT-0 5 files body ≈ 6 228 tokens Open the sourceclawhub.ai analyzed 2 d ago

Deploy, resume, verify, destroy, and locally wire a production Dirextalk message server on AWS for any local agent runtime supported by dirextalk-connect.

As a process F 63/100 · Will not run — References files that are not bundled: scripts/orchestrate.sh, scripts/adopt-legacy-node.sh, scripts/update.sh

AnalyzerAWSGitHubInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
63/100
Will not run
References files that are not bundled: scripts/orchestrate.sh, scripts/adopt-legacy-node.sh, scripts/update.sh
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
70
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 · 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 body-long SKILL.md body ≈ 6228 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/orchestrate.sh
  • warning missing-ref reference to a missing file: scripts/adopt-legacy-node.sh
  • warning missing-ref reference to a missing file: scripts/update.sh
  • warning missing-ref reference to a missing file: scripts/reset-app-data.sh
  • warning missing-ref reference to a missing file: scripts/destroy.sh
  • warning missing-ref reference to a missing file: references/tooling.md
  • warning missing-ref reference to a missing file: references/deployment-workflow.md
  • warning missing-ref reference to a missing file: references/runtime-wiring.md
  • warning missing-ref reference to a missing file: references/verification-recovery.md
  • warning missing-ref reference to a missing file: references/troubleshooting.md
  • warning missing-ref reference to a missing file: references/windows-deployment-notes.md
  • warning missing-ref reference to a missing file: references/token-refresh.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 63/100

Will not run. References files that are not bundled: scripts/orchestrate.sh, scripts/adopt-legacy-node.sh, scripts/update.sh
  • 0Tools and files. 12 referenced file(s) missing: scripts/orchestrate.sh, scripts/adopt-legacy-node.sh, scripts/update.sh
  • 0Result and completion. Does not say what the result is
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6228 tokens
  • 100Steps. 60 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 7 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (8 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 430: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This appears to be a legitimate deployment helper, but it deserves review because it installs persistent services and stores live service tokens on disk.
LLM: suspicious (high) · 14 Jul 2026