social-pulse-monitor
social-pulse-monitor is a PR & communications skill for AI agents, published by aaron-he-zhu in the aaron-marketing-skills repository on GitHub. Skillspace rates social-pulse-monitor C (72/100) and the safety scan flagged it for review; a judge model has also reviewed it.
Flagged for review. Read the source before running it.
Use when the user asks to "monitor brand mentions", "set up social listening", "did anything spike about us this week", or "watch these accounts for buying triggers"; runs always-on keyless listening — a versioned listening-query architecture (brand variants incl. misspellings and 中文 names, exclusion terms, per-source syntax for HN Algolia / Bluesky / GDELT / Tavily), a mention sweep with six-class triage (crisis / bug / lead / praise / question / spam) each routed with an SLA, a 7-day rolling baseline with spike flags (the crisis trigger input), a B2B trigger watchlist (funding / hiring / launch signals), and an explicit coverage disclosure where X/IG/TikTok/LinkedIn/小红书 numbers are proxy-labeled, never Measured. Not for launch-window telemetry (T-0→T+30 rank and review polling) — use launch-monitor. 舆情监听/品牌提及监测/基线突刺/触发信号
- Grade
- C
- Quality
- 72 / 100
- Safety
- Needs review
- GitHub stars
- 2,393
Placed #2 of 6 in the judged category final for PR & communications.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Medium-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. Generic social listening method over public sources; no repo ties
Judge review
Placed #2 of 6 in the judged category final for PR & communications.
- Trigger
80 80 - Instructions
75 75 - Specificity
93 93 - Safety
96 96 - Disclosure
85 85 - Maintenance
90 90
Mature multi-skill architecture with rate-limit-aware connectors, six-class SLA triage and an explicit red line against automating closed platforms, though the actual sweep procedure lives outside what's shown here.
What the scanner flagged
- suspicious outbound endpoint
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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