Install
$ agentstack add skill-jqaisystems-jqai-ai-skills-social-campaign-proof-tracker ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Social Campaign Proof Tracker
Overview
Use this skill to turn a project update into a public proof campaign with platform-specific copy, visual order, alt text, links, reply prompts, and follow-up tracking.
This skill organizes and drafts. It must not post, upload, comment, message, or submit externally unless the user explicitly asks and confirms the final action.
Workflow
- Identify the proof object:
- GitHub update
- demo
- video
- website page
- case study
- skill release
- automation milestone
- Gather only public-safe inputs:
- public links
- approved images or videos
- short outcome summary
- safe implementation categories
- approved calls to action
- Choose platform shape:
- LinkedIn: reflective post, carousel, document-style sequence, or video post
- X: short post, thread, image-led thread, or video-led post
- GitHub: README note, release note, proof trail, or demo link
- Draft platform copy.
- LinkedIn: clearer context, stronger hook, more reflective tone.
- X: short lines, one idea per post, direct links.
- Add accessibility and context:
- alt text for each image
- caption for video if needed
- link labels
- comment/reply prompts
- Create or update a local tracker:
- campaign name
- date
- asset list
- published links
- follow-up windows
- engagement notes
- useful replies
- After publishing, record only public results unless the user explicitly provides private metrics for private analysis.
Public Safety Rules
- Do not include private analytics exports, cookies, account IDs, unpublished client data, raw messages, private prompts, local paths, or credential-adjacent details.
- Do not invent engagement results.
- Do not imply client permission or measurable outcomes unless the user confirms them.
- Keep reply banks human-reviewed and non-spammy.
- Treat low comments as normal signal, not failure. Track proof value, reuse potential, and follow-up ideas.
Copy Rules
- Lead with the public proof angle or the useful lesson.
- Use concrete nouns: system, workflow, profile, proof layer, demo, skill, release.
- Avoid vague hype such as "game-changing" unless the user asks for a louder tone.
- Keep CTAs light: "I am building this in public", "open to feedback", "details on GitHub", or "happy to share the workflow".
- For X, prefer a thread over unrelated comments when multiple visuals belong to one story.
Tracker Shape
Use this structure by default:
# Campaign Tracker
Campaign:
Date:
Proof object:
Primary link:
## Assets
| Asset | Platform | Status | Notes |
| --- | --- | --- | --- |
## Published Links
| Platform | URL | Notes |
| --- | --- | --- |
## Follow-Up
| Window | Action | Status |
| --- | --- | --- |
## Reply Bank
- Thank-you reply:
- Technical reply:
- Client-value reply:
- Quiet-engagement follow-up:
Output Format
Return:
- Campaign recommendation.
- Platform copy.
- Asset order and alt text.
- Tracker or proof-trail updates made.
- Follow-up actions and timing.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jqaisystems
- Source: jqaisystems/jqai-ai-skills
- License: MIT
- Homepage: https://www.ai.joaoqueiros.com/skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.