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 jpeslar1/john-peslar-ai-skills --skill linkedin-signal-minergit clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-skillsWrote 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/jpeslar1/john-peslar-ai-skills/linkedin-signal-miner)<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/linkedin-signal-miner"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/linkedin-signal-miner/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/jpeslar1/john-peslar-ai-skills/linkedin-signal-miner"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/linkedin-signal-miner.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 | $0.00104 | $0.00589 |
| Opus 5 | $0.00052 | $0.00295 |
| Sonnet 5 | $0.00021 | $0.00118 |
| Haiku 4.5 | $0.00010 | $0.00059 |
Grade A, and why
linkedin-signal-miner 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 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.
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.
What it actually says
LinkedIn Signal Miner
Use this skill to turn LinkedIn activity into useful prospecting intelligence. Focus on signals that imply pain, urgency, budget, timing, or authority.
Read references/signal-categories.md when building a signal library or daily mining workflow.
Signal Types
- Pain signal - They complain about a problem the offer solves.
- Trigger event - They changed roles, raised money, launched a product, or started hiring.
- Tool signal - They mention using or replacing a relevant tool.
- Competitor signal - They complain about a competitor or ask for alternatives.
- Expansion signal - They are growing team, region, budget, or channel.
- Content engagement signal - They comment on posts about the problem.
- Authority signal - They own the budget or influence the decision.
Workflow
- Define ICP and offer.
- List likely trigger events.
- Write search phrases and post patterns.
- Classify signals by strength.
- Build the outreach angle from the signal.
- Write a non-generic comment or DM.
- Track replies and refine the signal library.
Signal Strength
| Score | Meaning |
|---|---|
| 5 | Direct pain plus authority plus timing |
| 4 | Clear pain or trigger with likely authority |
| 3 | Relevant interest but unclear urgency |
| 2 | Weak fit or weak timing |
| 1 | Generic engagement only |
Output Format
**ICP**
[summary]
**Best Signals**
| Signal | Why It Matters | Search Pattern | Strength |
|---|---|---|---:|
**Outreach Angles**
1. ...
2. ...
3. ...
**DM Templates**
[templates tied to specific signals]
**Daily Workflow**
1. ...
2. ...
3. ...
**Disqualifiers**
[who not to contact]
Rules
- Do not write fake personalization.
- Anchor every message to a real observed signal.
- Lead with relevance, not flattery.
- Prefer helpful comments before DMs when the relationship is cold.
- Track which signals convert, not just which signals are easy to find.
What ships with it
1 file 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.
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.
- 12d ago First seen · 80 lines · 104 tokens per session scan A 30daba59be86
linkedin-signal-miner is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (6 stars, last pushed 3d ago), licensed MIT. It adds 104 tokens to every session and 589 once invoked, about $0.0005 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 2026-08-31.
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