BF turing-pyramid
Prioritized action selection for AI agents. 10 needs with tension scoring, execution-gate tracking, optional continuity scripts, and an opt-in watchdog. Use when an agent needs local stateful action prioritization inside an isolated WORKSPACE. Read the deployment tiers and security warnings before enabling cron, watchdog kill/cleanup, or optional external-model scanning.
As a process F 44/100 · Will not run — References files that are not bundled: assets/watchdog.log, assets/audit.log
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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 · 3
✓ No critical or high findings
Medium and low: 3
-
low Dangerous commands
cmd-cron-mentionscripts/init.sh:65Mentions editing / listing crontab (string literal in code, not executed)echo " Run: crontab -e and add both lines (replace \$WORKSPACE with your path)"
code literal -
low Dangerous commands
cmd-cron-mentionSKILL.md:436Mentions editing / listing crontab (documentation of a security skill)crontab -e
security skill
A further 1 matches are quotations in this security skill's documentation and are not counted as findings.
Files scanned: 67. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 8189 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: assets/watchdog.log - warning
missing-refreference to a missing file: assets/audit.log
Process rating: all ten parameters 44/100
- 0Tools and files. 2 referenced file(s) missing: assets/watchdog.log, assets/audit.log
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 40Execution cost. Instruction body is 8189 tokens: crowds the task out of the window
- 100Steps. 66 steps
- 100Failures and branches. 6 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 14 top-level sections: this looks like several domains in one skill
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
- -219 emoji in the instructions: noise for the model
- -318 of 36 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 373: enough signal without eating the budget
- +4Structure: 44 headings
- +3Step-by-step instructions: 66 items
- +4Has examples (20 code blocks)
- +4Reference files are cited in the instructions (3 of 7)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.