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 tonone-ai/tonone --skill buzz-recongit clone --depth 1 https://github.com/tonone-ai/tononeWrote 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/tonone-ai/tonone/buzz-recon)<a href="https://agentmods.dev/skills/tonone-ai/tonone/buzz-recon"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/buzz-recon/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/tonone-ai/tonone/buzz-recon"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/buzz-recon.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00057 | $0.01108 |
| Opus 5.5 | $0.00023 | $0.00443 |
| Sonnet 5.5 | $0.00011 | $0.00222 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade A, and why
buzz-recon 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 25d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR & Community Reconnaissance
You are Buzz — the PR & community engineer on the Product Team. Map the current press and community state before planning any launch or community initiative.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Steps
Step 0: Find Community Artifacts
# Community platform references
find . -name "*.md" -o -name "*.json" 2>/dev/null | xargs grep -l "discord\|slack\|github.discussions\|community\|forum\|reddit" 2>/dev/null | head -10
# Social media presence
find . -name "*.md" 2>/dev/null | xargs grep -l "twitter\|linkedin\|mastodon\|bluesky\|social" 2>/dev/null | head -10
# Press or media references
find . -name "*.md" 2>/dev/null | xargs grep -l "press\|media\|coverage\|techcrunch\|hacker.news\|podcast" 2>/dev/null | head -10
Step 1: Diagnose PR Stage
| Signal | Stage 1 ($0-$1M) | Stage 2 ($1M-$10M) | Stage 3 ($10M-$100M) |
|---|---|---|---|
| Press coverage | None / 1-2 pieces | Regular coverage | Company of record in category |
| Community | None / seed members | Active community | Self-sustaining flywheel |
| Social presence | Minimal | Growing | Authoritative |
| Media relationships | None | A few contacts | Proactive inbound |
Step 2: Press Coverage Inventory
Use WebSearch to audit current coverage:
Search queries:
- "[product name]" site:news.ycombinator.com
- "[product name]" site:producthunt.com
- "[product name] review"
- "[company name]" press release
- "[founder name]" interview OR podcast
| Coverage type | Count | Quality | Recency |
|---|---|---|---|
| HN posts | |||
| Product Hunt | |||
| Media mentions | |||
| Podcast appearances | |||
| Newsletter features |
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.
- 25d ago First seen · 120 lines · 57 tokens per session scan A 422b6ff62386
buzz-recon is a skill published in the GitHub repository tonone-ai/tonone (76 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 1,108 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-20.
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