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 swan-gtm/gtm-skills --skill ads-measurement-scorecardgit clone --depth 1 https://github.com/swan-gtm/gtm-skillsWrote 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/swan-gtm/gtm-skills/ads-measurement-scorecard)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/ads-measurement-scorecard"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/ads-measurement-scorecard/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/swan-gtm/gtm-skills/ads-measurement-scorecard"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/ads-measurement-scorecard.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 | $0.00033 | $0.00871 |
| Opus 5.5 | $0.00013 | $0.00348 |
| Sonnet 5.5 | $0.00007 | $0.00174 |
| Haiku 4.5 | $0.00003 | $0.00087 |
Grade A, and why
ads-measurement-scorecard 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Measurement Scorecard & Dashboard Setup
Why Measurement Matters
- You can't fix what you can't see
- If it takes 6+ reports and 30+ minutes to answer basic questions, that level of speed won't let you scale
Measurement Scorecard
Score 1-3 on each question (don't lie, be honest):
Dashboards & Reporting
Q1: Do you have one dashboard where you can see overall blended pipeline performance?
Blended = paid + organic
- 1 = no dashboard created
- 2 = limited dashboard (can improve)
- 3 = reliable dashboard used regularly
Q2: Do you have dashboards where you can see channel performance?
(spend/pacing/conversions)
- 1 = no channel dashboard created
- 2 = limited dashboard (needs work)
- 3 = reliable dashboard used regularly
Conversion Tracking
Q3: Are you tracking conversions from the ad channels?
- 1 = no conversion tracking set up
- 2 = tracking via pixel conversions
- 3 = tracking via offline conversions
Web Analytics
Q4: Do you have a web analytics tool implemented?
(e.g. Google Analytics 4, Adobe Analytics)
- 1 = no web analytics tool implemented
- 2 = yes but haven't configured it
- 3 = yes and consistently using it for insights
Attribution
Q5: Do you have an organizationally agreed upon attribution process to understand what is working?
- 1 = not really
- 2 = everyone has an 'idea' but it isn't documented
- 3 = it's clearly documented and agreed upon as a team (no bias)
Scoring Interpretation
- Score < 6 = below average. Consider pausing campaigns until visibility is in place.
- Score 6-13 = average. Room for improvement (most fall here).
- Score 13-15 = above average. Strong confidence in measuring success.
Focus on improving items scored lowest first.
Program Visibility Dashboard Setup
Build an Automated Dashboard
Build an automated paid media dashboard in Google Sheets.
Building the Paid Media Dashboard (Technical Setup)
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 · 126 lines · 33 tokens per session scan A 250e88b427ee
ads-measurement-scorecard is a skill published in the GitHub repository swan-gtm/gtm-skills (221 stars, last pushed 8d ago), licensed MIT. It adds 33 tokens to every session and 871 once invoked, about $0.0001 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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