Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AIsa-team/agent-skills --skill kol-creator-discoverygit clone --depth 1 https://github.com/AIsa-team/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aisa-team/agent-skills/kol-creator-discovery)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/kol-creator-discovery"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/kol-creator-discovery/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aisa-team/agent-skills/kol-creator-discovery"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/kol-creator-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 169 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00096 | $0.01734 |
| Opus 5 | $0.00048 | $0.00867 |
| Sonnet 5 | $0.00019 | $0.00347 |
| Haiku 4.5 | $0.00010 | $0.00173 |
Grade A, and why
kol-creator-discovery scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
compatibility: "Works with any agentskills.io-compatible harness, including Claude Code, Claude, OpenCode, Cursor, Codex, Gemini CLI, OpenClaw, Hermes, Goose, and others. Requires Python 3, curl, and AISA_API_KEY." How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KOL Creator Discovery
Build a contact-ready creator list from one social profile. Use AIsa WaveInflu to look up the seed creator's email, find similar creators, enrich every recommended profile with its own email lookup, and return one evidence-based table.
Requirements
Set an AIsa API key:
export AISA_API_KEY="your-aisa-api-key"
Never print, log, or commit API keys. If the key is missing, ask the user to set AISA_API_KEY.
Compatibility
Works with any agentskills.io-compatible harness, including Claude Code, Claude, OpenAI Codex, Cursor, Gemini CLI, OpenCode, Goose, OpenClaw, Hermes, and other runtimes that support skill folders.
Requires Python 3, curl, and AISA_API_KEY. Get a key at https://aisa.one.
Quick Start
python3 {baseDir}/scripts/kol_creator_discovery.py research \
"https://www.youtube.com/@mkbhd" \
--limit 10 \
--out kol-report.md \
--json-out kol-report.json
With explicit content direction and audience filters:
python3 {baseDir}/scripts/kol_creator_discovery.py research \
"https://www.tiktok.com/@creator" \
--platform tiktok \
--content-direction "consumer AI apps and productivity tools" \
--regions US,GB \
--languages en \
--min-followers 10000 \
--max-followers 500000 \
--limit 15 \
--out kol-report.md
Core Workflow
1. Validate the brief
Collect or infer:
- One seed TikTok, Instagram, or YouTube creator profile URL
- Target discovery platform:
youtubeortiktok - Number of recommendations; default to 10
- Optional content direction, regions, languages, follower range, and average-view range
Infer the target platform from a YouTube or TikTok seed URL. If the seed is Instagram, ask for both the target platform and a content-direction description because WaveInflu similarity matching does not accept Instagram seed profiles.
Do not call an API until the input is a creator profile URL. Do not use individual post or video URLs as seeds.
2. Look up the seed creator's contact data
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 191 lines · 96 tokens per session scan A ba4ff607efe0
kol-creator-discovery is a skill published in the GitHub repository AIsa-team/agent-skills (25 stars, last pushed 2d ago), licensed Apache-2.0. It adds 96 tokens to every session and 1,734 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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