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 nirholas/XActions --skill growth-automationgit clone --depth 1 https://github.com/nirholas/XActionsWrote 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/nirholas/xactions/growth-automation)<a href="https://agentmods.dev/skills/nirholas/xactions/growth-automation"><img src="https://agentmods.dev/badge/skills/nirholas/xactions/growth-automation/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/nirholas/xactions/growth-automation"><img src="https://agentmods.dev/badge/skills/nirholas/xactions/growth-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.01254 |
| Opus 5 | $0.00041 | $0.00627 |
| Sonnet 5 | $0.00016 | $0.00251 |
| Haiku 4.5 | $0.00008 | $0.00125 |
Grade A, and why
growth-automation 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 9d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Automation
Browser console scripts for X/Twitter. Always paste src/automation/core.js first -- it provides shared config, selectors, utilities, and rate limiting.
Script Selection
| Goal | File |
|---|---|
| Auto-like timeline tweets | src/automation/autoLiker.js |
| Auto-comment on target's posts | src/automation/autoCommenter.js |
| Follow users by keyword search | src/automation/keywordFollow.js |
| Follow users who engaged with posts | src/automation/followEngagers.js |
| Follow target account's audience | src/automation/followTargetUsers.js |
| All-in-one growth suite | src/automation/growthSuite.js |
| Train algorithm for your niche | src/automation/algorithmTrainer.js |
| Boost engagement systematically | src/engagementBooster.js |
| Welcome new followers | src/welcomeNewFollowers.js |
| Auto-plug viral tweets | src/autoPlugReplies.js |
Key Scripts
autoLiker.js
Scrolls timeline, checks tweets against configurable filters (keywords, users, skip replies/ads, min likes threshold, max per session), clicks Like. Gaussian-randomized delays.
autoCommenter.js
Monitors a target user's profile for new posts. Replies with randomly rotated comment templates. Configurable check interval and max comments per session.
keywordFollow.js
Searches X by keywords, follows users from results. Records follow timestamps (used by smartUnfollow.js for grace-period logic). Configurable daily limits, de-duplicates.
followEngagers.js
Takes post URL(s), scans likers/retweeters/quote-tweeters, follows them. Configure engagement types and follow limit per post.
followTargetUsers.js
Takes target account(s), follows their followers or following. Rich filters: min/max follower count, ratio, bio keywords (include/exclude), account age.
growthSuite.js
Combines keyword follow + auto-like + smart unfollow + engagement tracking into a single long-running session with unified rate limiting.
algorithmTrainer.js
Autonomous 24/7 algorithm training engine. Configurable niches with search terms and comment templates. Cycles through 8 phases: search top/latest, follow people, home feed engagement, influencer visits, profile visits, explore browsing, idle dwell. Human-like timing, probabilistic engagement, intensity presets (chill/normal/active), per-cycle and daily rate limits.
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.
- 9d ago First seen · 109 lines · 81 tokens per session scan A e5175f76722b
growth-automation is a skill published in the GitHub repository nirholas/XActions (515 stars, last pushed yesterday), licensed Apache-2.0. It adds 81 tokens to every session and 1,254 once invoked, about $0.0004 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 2026-08-30.
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