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 event4u-app/agent-config --skill brand-strategygit clone --depth 1 https://github.com/event4u-app/agent-configWrote 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/event4u-app/agent-config/brand-strategy)<a href="https://agentmods.dev/skills/event4u-app/agent-config/brand-strategy"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/brand-strategy/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/event4u-app/agent-config/brand-strategy"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/brand-strategy.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 | $0.00045 | $0.01018 |
| Opus 5 | $0.00023 | $0.00509 |
| Sonnet 5 | $0.00009 | $0.00204 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade A, and why
brand-strategy 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 9d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
brand-strategy
Grounding skill. Consults the brand corpus to surface archetype, positioning, voice/tone, and messaging constraints. Output is a constraint set the human confirms — never final brand copy — then handed to brand-identity and brand-to-tokens.
When to use
- Deciding brand archetype, opposable positioning, voice/tone, or messaging framework before any identity work begins.
- Before invoking brand-identity — the confirmed constraint set is its required input.
- When a brief lacks a named audience, an opposable difference, or supporting proof.
- When a brand refresh or extension needs grounding before token changes.
Procedure
-
Pressure-test the brief. Is the audience named (not "everyone")? Is the difference opposable (could a competitor claim the opposite)? Is there at least one proof point? If any are missing, challenge — do not proceed on a vague brief.
-
Ground via the corpus. Run the corpus engine for each required domain. Start with archetype, then voice, then messaging:
./scripts-run <skills-root>/corpus-grounding/scripts/ground search \
--manifest <skills-root>/brand/data/manifest.json \
"<sector + audience + intent>" --domain archetype --json
Repeat with --domain voice and --domain messaging. Each call returns ranked rows with confidence and evidence_gap.
-
Read confidence and evidence gaps. Before trusting any row, read
confidenceand everyevidence_gapentry verbatim. Low-confidence rows must be surfaced as gaps — never silently promoted. -
Draft the constraint set. Produce:
- An opposable positioning statement naming the audience AND a difference a competitor could legitimately claim the opposite of.
- A voice profile: 3-5 traits, each with a do and a don't.
- A chosen messaging framework (problem-solution, jobs-to-be-done, category creation, etc.) with a rationale sentence.
-
Surface gaps and low-confidence calls. Name every evidence gap and every row below the confidence threshold. Flag where the corpus was thin.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 87 lines · 45 tokens per session scan A 5fcdf2d8d74b
brand-strategy is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 1,018 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 2026-08-31.
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