messages-ops
Evidence-first live messaging workflow for ecc. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.
npx skills add mturac/everything-openai-codex --skill messages-ops --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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-ops` when the message task is really mailbox work - `connections-optimizer` when the DM thread belongs to outbound network work - `lead-intelligence` when the live thread should inform targeting or warm-path outreach - `knowledge-ops` when 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
- Skill Stack
- When to Use
- Guardrails
- Workflow
- 1. Resolve the exact thread
- 2. Read before drafting
- 3. Handle codes as a focused retrieval task
- 4. Report exact evidence
- Output Format
- Pitfalls
- Verification
What does the messages-ops skill do?
Evidence-first live messaging workflow for ecc. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill messages-ops --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.