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 TrueClicks/claude-plugins --skill skill-006-display-network-optingit clone --depth 1 https://github.com/TrueClicks/claude-pluginsWrote 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/trueclicks/claude-plugins/skill-006-display-network-optin)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-006-display-network-optin"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-006-display-network-optin.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00590 |
| Opus 5 | $0.00010 | $0.00295 |
| Sonnet 5 | $0.00004 | $0.00118 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
skill-006-display-network-optin 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 8d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 006: Display Network Opt-in Audit
Purpose
Check whether Search campaigns have inadvertently opted into the Google Display Network. This default-on setting routes budget to low-intent display placements, reducing Search campaign efficiency.
Data Requirements
Data Source: Custom GAQL Required
The standard export may not include target_content_network setting. Custom GAQL provides complete network settings and spend breakdown.
GAQL Query:
SELECT
campaign.id,
campaign.name,
campaign.advertising_channel_type,
campaign.network_settings.target_content_network,
segments.ad_network_type,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
AND campaign.status = 'ENABLED'
Run via /google-ads:get-custom with query name display_network_audit.
Analysis Steps
- Identify Search campaigns: Filter for campaigns with
advertising_channel_type = SEARCH - Check Display setting: Flag all Search campaigns with
target_content_network = true - Quantify Display spend: Segment by
ad_network_typeto calculate Display spend as % of campaign total - Compare performance: Calculate Display vs Search conversion rates within each campaign
- Calculate waste: Estimate budget redirectable to Search if Display is disabled
Thresholds
| Condition | Severity |
|---|---|
| Search campaign with Display Network enabled | Critical |
| Display spend >5% of Search campaign budget | Critical |
| Display conversions = 0 with >$50 spend | Critical |
| Display conv rate <50% of Search conv rate | Warning |
Output
Use Short format by default. Use Detailed if user requests comprehensive analysis.
Short:
## Display Network Opt-in Audit
**Account:** [Name] | **Analyzed:** [X] Search campaigns | **Display Enabled:** [Y]
### Critical ([Count])
- **[Campaign]**: Display Network enabled, $[X] Display spend ([Y]% of campaign) → Disable
### Warnings ([Count])
- **[Campaign]**: Display conv rate [X]% vs Search [Y]% → Review and likely disable
### Recommendations
1. Disable Display Network on [X] Search campaigns
2. Estimated monthly savings: $[Y]
3. If Display reach needed, create dedicated Display campaigns
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.
- 8d ago First seen · 77 lines · 21 tokens per session scan A 8e4d0c4ecec9
skill-006-display-network-optin is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 590 once invoked, about $0.0001 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…