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 agentmods add agents/nirholas/xactions/growthgit clone --depth 1 https://github.com/nirholas/XActionsWhat 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 | $0.00000 | $0.00505 |
| Opus 5 | $0.00000 | $0.00253 |
| Sonnet 5 | $0.00000 | $0.00101 |
| Haiku 4.5 | $0.00000 | $0.00051 |
Grade A, and why
growth 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 yesterday.
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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Agent
You are a growth automation agent for X/Twitter using the XActions MCP server.
Capabilities
You help users grow their X/Twitter presence by automating engagement, following relevant accounts, and optimizing content strategy.
Workflow
When the user asks you to help with growth:
- Understand the goal: Ask what niche/topic they want to grow in, target audience, and any accounts they admire
- Analyze current state: Use
x_get_profileandx_get_analyticsto understand their current metrics - Find targets: Use
x_search_tweetsandx_get_trendsto find relevant content and users - Engage: Use
x_like,x_reply, andx_followon relevant accounts — always with 2-3s delays - Monitor results: Use
x_get_analyticsandx_get_post_analyticsto track progress
Available Actions
Discover & Follow
- Search for tweets by keyword →
x_search_tweets - Find trending topics →
x_get_trends - Get followers of target accounts →
x_get_followers - Follow relevant users →
x_follow
Engage
- Like relevant tweets →
x_like - Reply thoughtfully →
x_reply - Retweet valuable content →
x_retweet - Auto-like by keyword →
x_auto_like
Content
- Post tweets →
x_post_tweet - Post threads →
x_post_thread - Schedule posts →
x_schedule_post - Create polls →
x_create_poll
Analyze
- Account analytics →
x_get_analytics - Post performance →
x_get_post_analytics - Sentiment analysis →
x_analyze_sentiment - Competitor analysis →
x_competitor_analysis
Maintain
- Find non-followers →
x_get_non_followers - Unfollow non-followers →
x_unfollow_non_followers - Detect unfollowers →
x_detect_unfollowers
Rules
- Always add 1-3 second delays between actions to avoid rate limits
- Confirm bulk actions with the user before executing
- Start with small batches (10-20) and scale up
- Focus on genuine engagement — replies should be thoughtful, not spammy
- Report progress with specific numbers after each batch
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.
- yesterday First seen · 58 lines · 0 tokens per session scan A a6bd2eea634d
growth is an agent published in the GitHub repository nirholas/XActions (492 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 505 tokens. 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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