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 Jamkris/everything-gemini-code --skill messages-opsgit clone --depth 1 https://github.com/Jamkris/everything-gemini-codeWrote 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/jamkris/everything-gemini-code/messages-ops)<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/messages-ops"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/messages-ops/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/jamkris/everything-gemini-code/messages-ops"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/messages-ops.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 | $0.00046 | $0.00657 |
| Opus 5 | $0.00023 | $0.00329 |
| Sonnet 5 | $0.00009 | $0.00131 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
messages-ops 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 7d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- messages-ops — 95% identical, 3 lines differ
- messages-ops — 95% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Messages Ops
Use this when the task is live-message retrieval: iMessage, DMs, recent one-time codes, or thread inspection before a follow-up.
This is not email work. If the dominant surface is a mailbox, use email-ops.
Skill Stack
Pull these ECC-native skills into the workflow when relevant:
email-opswhen the message task is really mailbox workconnections-optimizerwhen the DM thread belongs to outbound network worklead-intelligencewhen the live thread should inform targeting or warm-path outreachknowledge-opswhen the thread contents need to be captured into durable context
When to Use
- user says "read my messages", "check texts", "look in DMs", or "find the code"
- the task depends on a live thread or a recent code delivered to a local messaging surface
- the user wants proof of which source or thread was inspected
Guardrails
- resolve the source first:
- local messages
- X / social DM
- another browser-gated message surface
- do not claim a thread was checked without naming the source
- do not improvise raw database access if a checked helper or standard path exists
- if auth or MFA blocks the surface, report the exact blocker
Workflow
1. Resolve the exact thread
Before doing anything else, settle:
- message surface
- sender / recipient / service
- time window
- whether the task is retrieval, inspection, or prep for a reply
2. Read before drafting
If the task may turn into an outbound follow-up:
- read the latest inbound
- identify the open loop
- then hand off to the correct outbound skill if needed
3. Handle codes as a focused retrieval task
For one-time codes:
- search the recent local message window first
- narrow by service or sender when possible
- stop once the code is found or the focused search is exhausted
4. Report exact evidence
Return:
- source used
- thread or sender when possible
- time window
- exact status:
- read
- code-found
- blocked
- awaiting reply draft
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.
- 7d ago First seen · 105 lines · 46 tokens per session scan A 662aa73e5b2b
messages-ops is a skill published in the GitHub repository Jamkris/everything-gemini-code (88 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 657 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 2026-09-03.
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