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 terrylica/cc-skills --skill imessage-querygit clone --depth 1 https://github.com/terrylica/cc-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/terrylica/cc-skills/imessage-query)<a href="https://agentmods.dev/skills/terrylica/cc-skills/imessage-query"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/imessage-query/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/terrylica/cc-skills/imessage-query"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/imessage-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Rogue Agent · line 321 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00030 | $0.03257 |
| Opus 5 | $0.00015 | $0.01629 |
| Sonnet 5 | $0.00006 | $0.00651 |
| Haiku 4.5 | $0.00003 | $0.00326 |
Grade A, and why
imessage-query 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 3d 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 — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iMessage Database Query
Query the macOS iMessage SQLite database (~/Library/Messages/chat.db) to retrieve conversation history, decode messages stored in binary format, and build sourced timelines with precise timestamps.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
When to Use
- Retrieving iMessage conversation history for a specific contact
- Building sourced timelines with timestamps from text messages
- Searching for keywords across all conversations
- Debugging messages that appear empty but contain recoverable text
- Extracting message content that iOS stored in binary
attributedBodyformat
Prerequisites
- macOS only —
chat.dbis a macOS-specific database - Full Disk Access — The terminal running Claude Code must have FDA granted in System Settings > Privacy & Security > Full Disk Access
- Read-only — Never write to
chat.db. Always use read-only SQLite access. - Optional:
pip install pytypedstream— Enables tier 1 decoder (proper typedstream deserialization). Script works without it (falls through to pure-binary tiers 2/3).
Critical Knowledge - The text vs attributedBody Problem
IMPORTANT: Many iMessage messages have a NULL or empty text column but contain valid, recoverable text in the attributedBody column. This is NOT because they are voice messages — iOS stores dictated messages, messages with rich formatting, and some regular messages in attributedBody as an NSAttributedString binary blob.
How to detect
-- Messages with attributedBody but no text (these are NOT necessarily voice messages)
SELECT COUNT(*) as hidden_messages
FROM message m
JOIN chat_message_join cmj ON m.ROWID = cmj.message_id
JOIN chat c ON cmj.chat_id = c.ROWID
WHERE c.chat_identifier = '<CHAT_IDENTIFIER>'
AND (m.text IS NULL OR length(m.text) = 0)
AND m.attributedBody IS NOT NULL
AND length(m.attributedBody) > 100
AND m.associated_message_type = 0
AND m.cache_has_attachments = 0;
What ships with it
6 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.
- 3d ago First seen · 324 lines · 30 tokens per session scan A 99e3f7967ebb
imessage-query is a skill published in the GitHub repository terrylica/cc-skills (66 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 3,257 once invoked, about $0.0002 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 2026-09-05.
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