SKILLEMALL.ai

BD standup

Every evening the GTM day is recapped into the cadence log and a digest is posted to Slack, as one reviewable pull request against your GTM repo. Triggers: "post the daily standup to slack", "end of day report in slack", "what happened today posted to slack", "keep a cadence log of each day", "replace the GitHub Action that posts our standup", "evening recap of the GTM day". Cargo CDK, defineAgent, harness claudeCode, GitHub, Slack, slack.postMessage, cargo-ai CLI reads, cadence. Skip when: you want one recap of today in this chat with nothing deployed; or you want call transcripts scribed into context, which is call-capture.

ClawHub Agent Skills author: Cargo v0.1.1 MIT-0 14 files · 8 scripts body ≈ 5 825 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Every evening the GTM day is recapped into the cadence log and a digest is posted to Slack, as one reviewable pull request against your GTM repo.

As a process D 47/100 · Unfinished process — References files that are not bundled: scripts/standup/package.json

IntegrationSlackGitHubSoftware developmentInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
47/100
Unfinished process
References files that are not bundled: scripts/standup/package.json
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5825 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/standup/package.json
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: scripts/standup/package.json
  • 0Tools and files. 1 referenced file(s) missing: scripts/standup/package.json
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 55Failures and branches. 1 branches
  • 70Execution cost. Instruction body is 5825 tokens
  • 100Steps. 35 steps
  • 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 (7 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

  • +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
  • +5Description quotes 6 example trigger phrases
  • +3Description length 633: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
The skill is coherent and mostly transparent, but it deploys an unattended repo-and-Slack agent with real prompt-injection and unpinned runtime execution risks.
LLM: suspicious (high) · 29 Sept 2026