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 First-Touch-Inc/firsttouch-agent-skill-packs --skill champion-job-changegit clone --depth 1 https://github.com/First-Touch-Inc/firsttouch-agent-skill-packsWrote 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/first-touch-inc/firsttouch-agent-skill-packs/champion-job-change)<a href="https://agentmods.dev/skills/first-touch-inc/firsttouch-agent-skill-packs/champion-job-change"><img src="https://agentmods.dev/badge/skills/first-touch-inc/firsttouch-agent-skill-packs/champion-job-change/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/first-touch-inc/firsttouch-agent-skill-packs/champion-job-change"><img src="https://agentmods.dev/badge/skills/first-touch-inc/firsttouch-agent-skill-packs/champion-job-change.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 | $0.00108 | $0.01366 |
| Opus 5 | $0.00054 | $0.00683 |
| Sonnet 5 | $0.00022 | $0.00273 |
| Haiku 4.5 | $0.00011 | $0.00137 |
Grade A, and why
champion-job-change 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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Champion Job Change
Outcome: A champion's move becomes two relationships instead of zero: a warm path into the new company on their timeline, and a protected relationship at the old account before the deal or renewal drifts.
First-run onboarding gate
Before running this skill for the first time in a workspace, load ../../references/onboarding.md and complete the onboarding questions. Do not proceed until you know: LinkedIn account type (free/basic = no connection notes; recommend 10 connection requests/day and never exceed the FirstTouch max of 20/day; Sales Navigator/Premium = connection notes available; recommend 20 connection requests/day and never exceed the FirstTouch max of 30/day), HubSpot access (MCP, service key/private app token, HubSpot list only, or none), and which play the user wants to run. If HubSpot is unavailable, run the outreach steps and skip the CRM updates.
How you find out (this skill reacts, it does not monitor)
FirstTouch does not watch for job changes. The trigger is the user learning about the move:
- A LinkedIn "started a new position" notification
- A bounced email or an out-of-office naming a departure
- An enrichment refresh showing a new company (
enrich_contactcan confirm a suspected move) - A HubSpot update from another team member
When the user suspects but is not sure, confirm with enrich_contact before acting - congratulating someone on a job they did not take is worse than silence.
When to use
- "Sarah just left Acme for Initech"
- A champion's email bounced mid-deal
- Quarterly book review turns up moved contacts
- The user wants a standard motion for every champion move
Step-by-step
1. Confirm the move and assess both sides
- Verify the new company/title (enrichment or the user's direct knowledge).
- Safety rule: a job change is not buying intent. New-role executives are flooded with "congrats + pitch" messages; this play's edge is explicitly NOT doing that.
- Old account: what is live there - open deal, renewal, active relationship? Who else do we know?
- New company: is it even ICP? If not, the congratulations still sends (relationships compound); the reactivation path just stays personal, not commercial.
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 · 76 lines · 108 tokens per session scan A 01681fb0757a
champion-job-change is a skill published in the GitHub repository First-Touch-Inc/firsttouch-agent-skill-packs (5 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 1,366 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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