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/steipete/agent-scripts/beepernpx skills add steipete/agent-scripts --skill beepergit clone --depth 1 https://github.com/steipete/agent-scriptsWhat 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 | $0.00022 | $0.00239 |
| Opus 5 | $0.00011 | $0.00120 |
| Sonnet 5 | $0.00004 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
beeper scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Beeper
Use this for local Beeper history questions, especially vague contact hints across iMessage/WhatsApp bridges.
Source
- DB:
~/Library/Application Support/BeeperTexts/index.db - FTS:
mx_room_messages_fts
Start by inspecting accounts/rooms before broad searching.
Workflow
- Identify likely account/bridge/room from
accounts,participants, and room tables. - Use FTS for text discovery.
- Narrow by date, participant, and room.
- Report room/account names, date spans, and confidence.
Useful probes:
sqlite3 "$HOME/Library/Application Support/BeeperTexts/index.db" \
"select * from accounts limit 20;"
sqlite3 "$HOME/Library/Application Support/BeeperTexts/index.db" \
"select rowid, content from mx_room_messages_fts where mx_room_messages_fts match 'query' limit 20;"
Keep results local; this DB can contain private messages.
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.
- yesterday First seen · 37 lines · 22 tokens per session scan A 5ee380c55651
beeper is a skill published in the GitHub repository steipete/agent-scripts (6,580 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 239 once invoked, about $0.0001 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 2026-08-30.
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