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 agentmods add commands/classicchins/compounding-marketing/cm-researchgit clone --depth 1 https://github.com/classicchins/compounding-marketingWrote 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/classicchins/compounding-marketing/cm-research)<a href="https://agentmods.dev/commands/classicchins/compounding-marketing/cm-research"><img src="https://agentmods.dev/badge/commands/classicchins/compounding-marketing/cm-research.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 | $0.00000 | $0.00337 |
| Opus 5 | $0.00000 | $0.00169 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
cm-research 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 6d 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.
What it actually says
/cm:research — Deep Market Research Workflow
Comprehensive research workflow that builds foundation for all marketing work.
What It Does
Runs a sequence of research skills to gather market intel, customer insights, and competitive analysis.
Process
-
Check for existing context
- Read
.agents/product-marketing-context.md - If missing, run
cm-contextfirst
- Read
-
Run ICP Research
- Execute
icp-researchskill - Output: ICP document with firmographics, behaviors, psychographics
- Execute
-
Run Competitive Analysis
- Execute
competitive-analysisskill - Output: Competitive landscape with white space opportunities
- Execute
-
Run Customer Research (if data available)
- Execute
customer-researchskill - Synthesize interviews/feedback into JTBD insights
- Output: Customer insights document
- Execute
-
Synthesize Findings
- Combine all research
- Update
.agents/product-marketing-context.mdwith learnings - Identify gaps (what research is still needed)
-
Recommend Next Steps
- If positioning is weak → Run
/cm:position - If ready to execute → Run
/cm:copyor/cm:launch
- If positioning is weak → Run
When to Use
- Starting a new marketing initiative
- Entering a new market segment
- Refreshing outdated positioning
- Before a major product launch
Time Investment
2-4 hours (depending on available data)
Output
- Updated product-marketing context
- ICP document
- Competitive analysis
- Customer insights (if applicable)
- Recommended next steps
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.
- 6d ago First seen · 55 lines · 0 tokens per session scan A 3f4497a64d95
cm-research is a command published in the GitHub repository classicchins/compounding-marketing (7 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 337 tokens. 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.
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checklist
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clarify
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specify
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analyze
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constitution
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converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.