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 RBraga01/builder-growth --skill channel-selection-auditgit clone --depth 1 https://github.com/RBraga01/builder-growthWrote 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/rbraga01/builder-growth/channel-selection-audit)<a href="https://agentmods.dev/skills/rbraga01/builder-growth/channel-selection-audit"><img src="https://agentmods.dev/badge/skills/rbraga01/builder-growth/channel-selection-audit/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/rbraga01/builder-growth/channel-selection-audit"><img src="https://agentmods.dev/badge/skills/rbraga01/builder-growth/channel-selection-audit.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 | $0.00078 | $0.01632 |
| Opus 5 | $0.00039 | $0.00816 |
| Sonnet 5 | $0.00016 | $0.00326 |
| Haiku 4.5 | $0.00008 | $0.00163 |
Grade A, and why
channel-selection-audit 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Channel Selection Audit
The Law
A CHANNEL CHOSEN BY DEFAULT IS A CHANNEL CHOSEN WRONG.
"Let's try everything" splits a limited budget across channels with no comparable signal, so nothing gets enough volume to learn anything before the budget runs out.
"Everyone else uses paid ads" describes a competitor's constraint, not yours.
Every candidate channel scored against the same eight criteria IS channel selection.
When to Use
Trigger before:
- Building a campaign, content calendar, or outbound sequence for a new segment or offer
- Reallocating growth budget across channels
- Entering a new market, segment, or product line where prior channel performance does not transfer
- Any time
growth-strategy-designproduced a channel hypothesis that has not yet been validated
When NOT to Use
- Channels with an established, measured track record for this exact segment and offer — re-running the audit is redundant; review the existing data instead
- Single-channel constraints with no real alternative (e.g., a regulated industry where only one channel is compliant) — document the constraint instead of auditing alternatives that aren't available
The Candidate Channels
Score the channels that are realistically available given the strategy's segment, offer, and constraint. Not every channel applies to every project.
SEO · content · outbound · paid ads · partnerships · community ·
marketplaces · referrals · social · product-led growth · sales-led growth
Do not score channels with no plausible audience overlap with the target segment — note them as "not applicable" and move on.
The Eight Selection Criteria
Score each candidate channel 1–5 on every criterion. A channel that scores well on three criteria and poorly on the other five is not a strong channel — it is a channel with a narrow use case.
1 — Audience Presence
Is the target segment actually active on this channel, in measurable numbers? Presence without intent (browsing social media) scores lower than presence with intent (searching for a solution).
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 · 150 lines · 78 tokens per session scan A b88b41f864a3
channel-selection-audit is a skill published in the GitHub repository RBraga01/builder-growth (2 stars, last pushed 2mo ago), licensed MIT. It adds 78 tokens to every session and 1,632 once invoked, about $0.0004 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.
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