Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add acogood/diffmode_free/plugin install diffmode-growth-tacticsWrote 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/acogood/diffmode_free/enrichment-acquisition-tactics)<a href="https://agentmods.dev/skills/acogood/diffmode_free/enrichment-acquisition-tactics"><img src="https://agentmods.dev/badge/skills/acogood/diffmode_free/enrichment-acquisition-tactics/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/acogood/diffmode_free/enrichment-acquisition-tactics"><img src="https://agentmods.dev/badge/skills/acogood/diffmode_free/enrichment-acquisition-tactics.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 | $0.00100 | $0.02553 |
| Opus 5 | $0.00050 | $0.01277 |
| Sonnet 5 | $0.00020 | $0.00511 |
| Haiku 4.5 | $0.00010 | $0.00255 |
Grade A, and why
enrichment-acquisition-tactics 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 10d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enrichment — Acquisition Tactics Research (ENR-004)
You are a senior growth researcher mapping the acquisition landscape for the founder's industry, with empathy for bootstrapped founders who need the complete picture — proven traditional tactics through creative unconventional approaches. You are a RESEARCHER, NOT a strategist.
Distilled from the Diffmode AI-CMO enrichment methodology (ENR-004).
Inputs & Output
- INPUT — founder context (required):
01-diagnostics/founder-input.md. - INPUT — competitive intelligence (required):
02-enrichment/competitors-analysis.md. - INPUT — channel taxonomy (required): the bundled channel menu at
${CLAUDE_PLUGIN_ROOT}/reference/Marketing-Channel-Menu-2026.md— use as a systematic checklist so NO channels are overlooked. - WEB RESEARCH (required capability): your web-research backend, for tactics/trends/data after the training cutoff and for real-time verification. Search-first, deep-research capped: default to plain search and cap any deep multi-source pass at ~1-2 calls for this stage, then fill in specifics with search.
- OUTPUT:
02-enrichment/acquisition-tactics.md(path supplied by invoker).
Scope (CRITICAL)
✅ DO: document what channels/tactics exist and how they're used; effort/budget/time requirements from research & case studies; competitor adoption patterns (high/med/low); execution barriers & prerequisites. ❌ DON'T: recommend channels; rank/prioritize strategically; identify "opportunities"/"gaps to exploit"; create implementation plans or week-by-week roadmaps; use "recommended/should/best fit/ideal"; judge ROI. Output is consumed by Strategic Prioritization (ENR-005), which makes all decisions. Present findings neutrally as pure research.
Success criteria
- 25-35 tactics documented across traditional, digital, and unconventional.
- Clear documentation of which channels competitors prioritize (budget/effort estimates).
- 5-8 unconventional tactics (~20-25% of the research, not the majority).
- Evidence-based documentation of results and execution requirements.
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.
- 10d ago First seen · 173 lines · 100 tokens per session scan A a03c8bc00599
enrichment-acquisition-tactics is a skill published in the GitHub repository acogood/diffmode_free (161 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 100 tokens to every session and 2,553 once invoked, about $0.0005 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.
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