What is pain-language-engagers?

A lead-finding workflow that searches LinkedIn for public posts describing frustrations and operational problems. It asks about your product, ideal customer profile, and pain points, then searches for matching posts and their engagers.

Use it to find potential customers through LinkedIn posts about the problems your product addresses.

It helps turn vague ideas about customer problems into search terms and a list of people already discussing those problems.

pain-language-engagers — Skill by gooseworks-ai/gooseworks-skills

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 gooseworks-ai/gooseworks-skills --skill pain-language-engagers

Clone the repo

git clone --depth 1 https://github.com/gooseworks-ai/gooseworks-skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/gooseworks-ai/gooseworks-skills/pain-language-engagers/github.svg)](https://agentmods.dev/skills/gooseworks-ai/gooseworks-skills/pain-language-engagers)

Your own site

<a href="https://agentmods.dev/skills/gooseworks-ai/gooseworks-skills/pain-language-engagers"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/gooseworks-skills/pain-language-engagers/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/gooseworks-ai/gooseworks-skills/pain-language-engagers"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/gooseworks-skills/pain-language-engagers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,993 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown 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.

Model	Per session	Once invoked
Fable 5.1	$0.00108	$0.01993
Opus 5.5	$0.00043	$0.00797
Sonnet 5.5	$0.00022	$0.00399
Haiku 4.5	$0.00011	$0.00199

Measured 2mo ago against content hash 022946e518f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pain-language-engagers 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/pain_language_engagers.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/capabilities/pain-language-engagers/SKILL.md · 189 lines

The source is not reproduced here

No licence file

Read it on GitHub

Files

What ships with it

11 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.

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.

2mo ago First seen · 189 lines · 108 tokens per session scan A 022946e518f3

Subscribe to this mod's changes

pain-language-engagers is a skill published in the GitHub repository gooseworks-ai/gooseworks-skills (12 stars, last pushed 7mo ago), with no licence file. It adds 108 tokens to every session and 1,993 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.

Marketing and SEO Research lead-generation

pain-language-engagers next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
pain-language-engagersgooseworks-ai/gooseworks-skills	Skill	12	7mo ago	none	A	108	Claude Code, Codex
squeeze-page-builderAffitor/affiliate-skills	Skill	767	18d ago	MIT	A	114	Claude Code
deepline-ads-audiencesgetaero-io/gtm-eng-skills	Skill	73	yesterday	MIT	A	133	Claude Code, Codex
deepline-enginegetaero-io/gtm-eng-skills	Skill	73	yesterday	MIT	A	43	Claude Code, Codex
deepline-plays-reviewgetaero-io/gtm-eng-skills	Skill	73	yesterday	MIT	A	121	Codex
b2b-marketing-playbookGingiris-1031/gingiris-skills	Skill	89	2d ago	MIT	A	53	Claude Code, Codex
deepline-crm-cleaninggetaero-io/gtm-eng-skills	Skill	73	yesterday	MIT	A	73	Claude Code, Codex