content-reaction-check — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited content-reaction-check (Agent Skill) and scored it 96/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 1 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill before publishing content. The goal is to catch how real readers may privately interpret the draft:
Extract from the conversation:
If the exact draft is missing, ask for it. Do not simulate a vague description unless the user explicitly wants a pre-draft check.
Use Yomira with:
{
"artifact": {
"type": "content_draft",
"content": "EXACT CONTENT"
},
"objective": "Decide whether to publish, revise, or reposition this content.",
"audience": {
"description": "Likely readers and why they see it."
},
"simulation": {
"target_n": 40,
"max_agent_voices": 8,
"max_output_tokens": 16000
}
}Return:
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.