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 squadcodercom/squadcoder --skill x-adsgit clone --depth 1 https://github.com/squadcodercom/squadcoderWrote 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/squadcodercom/squadcoder/x-ads)<a href="https://agentmods.dev/skills/squadcodercom/squadcoder/x-ads"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/x-ads/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/squadcodercom/squadcoder/x-ads"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/x-ads.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 | $0.00258 | $0.03846 |
| Opus 5.5 | $0.00103 | $0.01538 |
| Sonnet 5.5 | $0.00052 | $0.00769 |
| Haiku 4.5 | $0.00026 | $0.00385 |
Grade A, and why
x-ads 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 1mo 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X (Twitter) Ads — Pro Playbook
A practical, current playbook for running performance and brand campaigns on X Ads Manager (ads.x.com). X is a high-intent, real-time, conversation-driven channel: it wins for launches, news-jacking, B2B/tech, events, and culturally-timed pushes. It is weaker than Meta/Google for pure broad-reach DR at scale, so structure for intent + timing, not just audience size.
1. Account & campaign structure (hierarchy)
X uses a 3-level tree: Campaign → Ad Group → Ad (Promoted post).
- Campaign = objective + total/daily budget + start/end + funding source.
- Ad Group = audience, placements, bid, schedule, optimization preference. (This is X's equivalent of Meta's ad set / Google's ad group.)
- Ad = the Promoted post(s) served. Multiple ads per group A/B test automatically against the objective.
Objectives (pick by funnel stage):
| Funnel | Objective | Optimizes for | Use when |
|---|---|---|---|
| Awareness | Reach | Max unique users (CPM) | New brand, launch, max eyeballs |
| Awareness | Video Views | 6s/2s/15s views | Video brand story |
| Awareness | Pre-roll Views | Views before X creator video | Align with content verticals (Amplify) |
| Consideration | Engagements | Likes/reposts/replies (CPE) | Build social proof, conversation |
| Consideration | Followers | New followers | Grow owned audience |
| Conversion | Website Traffic / Clicks | Link clicks / landing-page visits | Send to site, blog, store |
| Conversion | Website Conversions | Pixel/CAPI events (purchase, lead) | DR with tracking installed — the money objective |
| App | App Installs | Installs (MACT/SDK) | Mobile app growth |
| App | App Re-engagement | Opens/in-app actions | Win-back / retention |
Structure rules of thumb:
- One objective per campaign; don't mix awareness and conversion budgets.
- ABO-style control: set budgets at the ad-group level to force spend across audiences while testing; consolidate winners later. X has no true CBO — manage pacing per ad group.
- Start with 3–5 ad groups max per campaign (one variable each: audience type, placement, or bid) so signal isn't fragmented. X needs ~50 conversions/week per optimization to learn well; don't over-split.
- Separate prospecting and retargeting campaigns so reporting and bids stay clean.
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.
- 1mo ago First seen · 179 lines · 258 tokens per session scan A d1acdb427e07
x-ads is a skill published in the GitHub repository squadcodercom/squadcoder (12 stars, last pushed 3mo ago), licensed MIT. It adds 258 tokens to every session and 3,846 once invoked, about $0.0010 per session on Opus 5.5. 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 2026-09-03.
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