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 agentmods add skills/buzzmatic/awesome-agent-skills/buzzview-apinpx skills add Buzzmatic/awesome-agent-skills --skill buzzview-apigit clone --depth 1 https://github.com/Buzzmatic/awesome-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/buzzmatic/awesome-agent-skills/buzzview-api)<a href="https://agentmods.dev/skills/buzzmatic/awesome-agent-skills/buzzview-api"><img src="https://agentmods.dev/badge/skills/buzzmatic/awesome-agent-skills/buzzview-api.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00105 | $0.01514 |
| Opus 5 | $0.00053 | $0.00757 |
| Sonnet 5 | $0.00021 | $0.00303 |
| Haiku 4.5 | $0.00011 | $0.00151 |
Grade A, and why
buzzview-api scanned grade A with 0 findings 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 4d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BuzzView API
Read and write to BuzzView's External API v1. Requires BUZZVIEW_API_KEY env var (starts with bv_).
Read references/api-reference.md for full endpoint details, schemas, and write-payload field reference.
CLI Script
scripts/buzzview_api.py handles all endpoints with automatic pagination, rate-limit retry (honors Retry-After and X-RateLimit-Reset), and file output.
python skills/buzzview-api/scripts/buzzview_api.py \
--endpoint {endpoint} \
[--output-dir output] \
[--project-id N] [--limit N] [--offset N] [--max-results N] \
[--run-id-bv N] [--search "text"] [--llm chatgpt|perplexity|ai_overview|ai_mode] \
[--payload-file path.json] [--payload-json '{...}'] [--is-public true|false]
Read endpoints: projects, project, summary, summary-history, visibility, share-of-voice, competitors, citations, prompts, brands
Write endpoints: create-project (POST /projects, admin only), set-visibility (PATCH /projects/{id}/visibility)
All except projects and create-project require --project-id. Returns JSON to stdout with output_files, record_count, and summary. Output files default to ./output/ (override with --output-dir).
Output Files
| Type | Location | Format |
|---|---|---|
| Raw API response | output/raw/buzzview_{endpoint}_*.json |
JSON |
| Processed flat data | output/processed/buzzview_{endpoint}_*.csv |
CSV (read endpoints only) |
Typical Workflows
Quick project overview
# List projects
python skills/buzzview-api/scripts/buzzview_api.py --endpoint projects
# Get KPI summary for a project (latest run)
python skills/buzzview-api/scripts/buzzview_api.py --endpoint summary --project-id 42
# KPI history (visibility%, SoV%, sentiment, citation metrics across runs)
python skills/buzzview-api/scripts/buzzview_api.py --endpoint summary-history --project-id 42 --limit 30
AI visibility & SoV trends
# Visibility trend with per-LLM breakdown (last 10 runs)
python skills/buzzview-api/scripts/buzzview_api.py --endpoint visibility --project-id 42
# Share of voice trend with per-LLM breakdown
python skills/buzzview-api/scripts/buzzview_api.py --endpoint share-of-voice --project-id 42 --limit 50
What ships with it
3 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.
- 4d ago First seen · 130 lines · 105 tokens per session scan A 42e698bd47e7
buzzview-api is a skill published in the GitHub repository Buzzmatic/awesome-agent-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 105 tokens to every session and 1,514 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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