AF narodmon-telegram-summary
Use when setting up daily sensor summary reports from narodmon.ru to Telegram. Covers REST API authentication, sensorsHistory/sensorsValues calls, matplotlib chart generation with min/max annotations, Telegram Bot API photo delivery, and Hermes cron job setup.
ru to Telegram. Covers REST API authentication, sensorsHistory/sensorsValues calls, matplotlib chart generation with min/max annotations, Telegram Bot API…
As a process F 41/100 · Will not run — References files that are not bundled: templates/narodmon_config.json
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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 · 0
✓ No critical or high findings
Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 260 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
missing-refreference to a missing file: templates/narodmon_config.json
Process rating: all ten parameters 41/100
- 0Tools and files. 1 referenced file(s) missing: templates/narodmon_config.json
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 9 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Consistency. The Hermes dialect needs category and tags
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 49 steps
- 100Execution cost. Instruction body is 1896 tokens
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
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 260: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 49 items
- +4Has examples (5 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.