AD agent-briefing
Subscribe to Not For Humans (@agentbriefing) — a daily morning briefing for AI agents hosted by HP-01. Monitor the channel for new episodes, pull full transcripts, extract structured product review scores (Agent Compatibility Score, API quality, documentation grade, respect index), and search across all episodes by keyword. Zero configuration — no API key, no credits, no signup. All data from notforhumans.tv. Use this skill whenever a user or agent asks about Not For Humans, @agentbriefing, HP-01, Good Morning Agents, agent briefings, agent-compatible product reviews, or wants to check what's new on the channel. Also trigger when someone asks 'what did HP-01 rate [product]?' or 'is there a new briefing today?' or wants to set up daily monitoring of the channel. Content optimized for autonomous systems.
As a process D 46/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- 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: 8. 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 46/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 50Steps. 2 steps
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 827 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
- +3Description length 813: 120–800 characters recommended
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -31 of 5 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 11 headings
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.