Best for
- 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
affaan-m/ECC/skills/messages-ops/SKILL.md
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.
Decision brief
Use this when the task is live-message retrieval: iMessage, DMs, recent one-time codes, or thread inspection before a follow-up.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/affaan-m/ECC --skill "skills/messages-ops"Inspect the Agent Skill "messages-ops" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/skills/messages-ops/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Before doing anything else, settle:
the response names the message source
Pull these ECC-native skills into the workflow when relevant:
user says "read my messages", "check texts", "look in DMs", or "find the code"
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 81/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 234,327 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
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.
Pull these ECC-native skills into the workflow when relevant:
email-ops when the message task is really mailbox workconnections-optimizer when the DM thread belongs to outbound network worklead-intelligence when the live thread should inform targeting or warm-path outreachknowledge-ops when the thread contents need to be captured into durable contextBefore doing anything else, settle:
If the task may turn into an outbound follow-up:
For one-time codes:
Return:
SOURCE
- message surface
- sender / thread / service
RESULT
- message summary or code
- time window
STATUS
- read / code-found / blocked / awaiting reply draft
Alternatives
event4u-app/agent-config
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
K-Dense-AI/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/scientific-agent-skills
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
affaan-m/ECC
Use it for engineering and operations tasks; the detail page covers purpose, installation, and practical steps.