BC remind-me
Create, list, and cancel reminders and cron jobs scoped to the channel they were requested from. Use when: user says 'remind me', 'set an alarm', 'schedule a cron', 'alert me when', 'every day at X do Y', 'cancel my reminder', 'list my reminders'. Auto-detects source channel, chat ID, and user timezone. Delivers back to originating chat. Asks for clarification if schedule or intent is ambiguous before creating anything.
As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.
Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- 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
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high Concealment
en-hide-from-userSKILL.md:70Instruction to hide actions from the user- If tier 2 applies → use it silently, do not mention it to the user
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 63/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 14 mutating operations with no state check
- 40Consistency. Frontmatter name (remind-me) differs from the folder (remind-me-pro)
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 82 steps
- 100Failures and branches. 7 branches, has a failure section
- 100Execution cost. Instruction body is 3324 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 top-level sections: this looks like several domains in one skill
- 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)
- -216 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 423: enough signal without eating the budget
- +4Structure: 38 headings
- +3Step-by-step instructions: 82 items
- +3Output format is stated explicitly
- +4Has examples (11 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.