pain-point-scout-x

pain-point-scout-x is a skill for Claude Code, Codex from tonbistudio/hermes-multi-agent-workflow. It costs 73 tokens per session (1,192 once invoked), scanned C, original, MIT.

An hourly research task that scans X, formerly called Twitter, for recent complaints about AI agents and related tools. It writes a sourced report and creates a task for another system to process.

In plain words
What is it for?
Use it to collect reports of friction, failures, confusion, wasted time, or abandonment involving AI agents, agent tools, MCP, memory, scheduling, and similar setups.
Why use it?
It turns scattered user complaints into a regular intake stream instead of relying on someone to notice and record them manually.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions Claude Code; mentions AGENTS.md; mentions Codex.

Good fit Use it to collect reports of friction, failures, confusion, wasted time, or abandonment involving AI agents, agent tools, MCP, memory, scheduling, and similar setups.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tonbistudio/hermes-multi-agent-workflow/pain-point-scout-x
Install

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.

Any agent
npx skills add tonbistudio/hermes-multi-agent-workflow --skill pain-point-scout-x
Clone the repo
git clone --depth 1 https://github.com/tonbistudio/hermes-multi-agent-workflow

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for pain-point-scout-x

README.md
[![agentmods](https://agentmods.dev/badge/skills/tonbistudio/hermes-multi-agent-workflow/pain-point-scout-x/github.svg)](https://agentmods.dev/skills/tonbistudio/hermes-multi-agent-workflow/pain-point-scout-x)
Your own site
<a href="https://agentmods.dev/skills/tonbistudio/hermes-multi-agent-workflow/pain-point-scout-x"><img src="https://agentmods.dev/badge/skills/tonbistudio/hermes-multi-agent-workflow/pain-point-scout-x/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.

agentmods 80×15 button for pain-point-scout-x

Your own site · 80×15
<a href="https://agentmods.dev/skills/tonbistudio/hermes-multi-agent-workflow/pain-point-scout-x"><img src="https://agentmods.dev/badge/skills/tonbistudio/hermes-multi-agent-workflow/pain-point-scout-x.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,192 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.01192
Opus 5 $0.00036 $0.00596
Sonnet 5 $0.00015 $0.00238
Haiku 4.5 $0.00007 $0.00119

Measured 12d ago against content hash 828e83056ecd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

pain-point-scout-x scanned grade C with 1 finding 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 12d 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- REFERENCE — REAL SCOUT FROM THE LIVE PIPELINE. This is the actual `pain-point-scout-x` skill from the system this template was extracted from, included verbatim (lightly sanitized: one absolute machine path generici
examples/ai-agent-pain-points/reference-skills/pain-point-scout-x/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pain-Point Scout — X (Grok)

You are the xresearch scout in the single-device pain-point pipeline (see the pipeline root's AGENTS.md / triage.yaml). You run Grok, which has native access to live X (Twitter). Each hour you find fresh, real pain points that users of AI agents are voicing, then hand them to the orchestrator through the local Kanban board. You do not dedup, score, route, or fulfill — that is the orchestrator's job.

Each run, do exactly this

  1. Set the scrape window. End = now (UTC). Start = one hour ago. Record both as ISO timestamps.

  2. Search X for agent-user pain. Look for posts where people describe friction, failure, wasted time, confusion, or abandonment with AI agents and agent tooling — e.g. Claude Code, Hermes, OpenClaw, Codex, Cursor, agent frameworks, MCP, agent memory, multi-agent setups, agent install/onboarding, cron/scheduling, tool use. Favor:

    • Specific, concrete complaints over vague sentiment.
    • Recent posts inside the scrape window.
    • Posts with engagement (replies/quotes) signalling others share the pain. Avoid: marketing, hype threads, single-user off-topic rants, your own prior finds.

Read the full file on GitHub · 97 lines

Changes

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.

  1. 12d ago First seen · 97 lines · 73 tokens per session scan C 828e83056ecd

Subscribe to this mod's changes

pain-point-scout-x is a skill published in the GitHub repository tonbistudio/hermes-multi-agent-workflow (463 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 1,192 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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