Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pronpx agentmods add commands/indranilbanerjee/digital-marketing-pro/seo-driftWrote 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/commands/indranilbanerjee/digital-marketing-pro/seo-drift)<a href="https://agentmods.dev/commands/indranilbanerjee/digital-marketing-pro/seo-drift"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/seo-drift/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/commands/indranilbanerjee/digital-marketing-pro/seo-drift"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/seo-drift.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 | $0.00043 | $0.00830 |
| Opus 5 | $0.00022 | $0.00415 |
| Sonnet 5 | $0.00009 | $0.00166 |
| Haiku 4.5 | $0.00004 | $0.00083 |
Grade A, and why
seo-drift 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 12d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Drift
If you see unfamiliar placeholders or need to check which data sources are connected, see CONNECTORS.md.
Takes two snapshots of SEO performance data — separated by weeks, a Core Update, a content refresh, or an algorithm change — and produces a structured drift report. Works with classic GSC exports, the new GSC AI Performance Report (3 Jun 2026), rank-tracker exports, and aeo-audit probe results. Routes to skills/seo-drift/SKILL.md.
Trigger
User runs /digital-marketing-pro:seo-drift or asks for:
- "Compare this month vs last month"
- "What changed since the Core Update?"
- "Track AI Mode citation drift"
- "Before/after for the content refresh"
- "Site migration impact audit"
Inputs
- Baseline CSV — older snapshot
- Current CSV — newer snapshot
- Source type — auto-detected via columns (GSC / GSC AI / rank tracker / AEO probe). Both snapshots must be from same source.
- Noise threshold (optional) — default 5%, below which moves are classified
stable. YMYL industries should use 10% to filter out Quality Rater Guidelines volatility.
Process
- Load brand context
- Place baseline + current CSV exports into the dated output folder
- Run
scripts/seo_drift.pyto compute per-row deltas + classifications - Validate the four quality gates (date_range_distinct / sample_size / metric_compatibility / no_lookup_collisions)
- Narrative analysis of top 10 gainers (cause hypotheses → amplification candidates)
- Triage matrix for top 10 losers (
is_yMYL × had_recent_change × Core_Update_window→ action) - If source is GSC AI Performance Report: cross-reference AI Mode citation losses with
/digital-marketing-pro:aeo-audit - Classification distribution analysis (high reshuffle = AI Mode intent reweighting)
- Write
PLAN.mdto${CLAUDE_PLUGIN_DATA}/{brand}/seo/seo-drift/{date}/
Output
Numbered intermediate files under ${CLAUDE_PLUGIN_DATA}/{brand}/seo/seo-drift/{YYYY-MM-DD}/:
00-input.md,01-baseline.csv,02-current.csv03-drift-run.json(raw script output),04-quality-scorecard.md05-biggest-gainers.md,05-biggest-losers.md06-ai-mode-shift.md(only when source is GSC AI Performance Report)07-classification-distribution.mdPLAN.md(the deliverable)
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.
- 12d ago First seen · 61 lines · 43 tokens per session scan A 272246b58c59
seo-drift is a command published in the GitHub repository indranilbanerjee/digital-marketing-pro (806 stars, last pushed 4d ago), licensed MIT. It adds 43 tokens to every session and 830 once invoked, about $0.0002 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.
Other commands, from other repositories
brand-setup
Configure brand voice, terminology, compliance guardrails, and style guide for content production.
output-folder
Print the absolute path to the user-visible ContentForge output folder and open it in the OS file manager.
create-content
Run the full 10-phase content production pipeline — research, draft, fact-check, humanize, and publish.
audit-content
Audit your content library for freshness decay, coverage gaps, and optimization opportunities.
content-brief
Generate a research-backed content brief with keyword data, competitor analysis, search intent, and SEO strategy.
publish
Publish finished content to Webflow or WordPress with preview, verification, and HTML export fallback.