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 ztemerbekov/a1-marketing-skills --skill a1-marketing-contextgit clone --depth 1 https://github.com/ztemerbekov/a1-marketing-skillsWrote 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/ztemerbekov/a1-marketing-skills/a1-marketing-context)<a href="https://agentmods.dev/skills/ztemerbekov/a1-marketing-skills/a1-marketing-context"><img src="https://agentmods.dev/badge/skills/ztemerbekov/a1-marketing-skills/a1-marketing-context/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/ztemerbekov/a1-marketing-skills/a1-marketing-context"><img src="https://agentmods.dev/badge/skills/ztemerbekov/a1-marketing-skills/a1-marketing-context.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 | $0.00070 | $0.00638 |
| Opus 5.5 | $0.00028 | $0.00255 |
| Sonnet 5.5 | $0.00014 | $0.00128 |
| Haiku 4.5 | $0.00007 | $0.00064 |
Grade A, and why
a1-marketing-context 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 2mo 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Context
Create or update the current repository's shared marketing context from confirmed information without turning setup into strategy work.
This is a public, Model-invoked skill for explicit context-maintenance intent. Its one user job is to maintain .agents/marketing-context.md safely and incrementally.
Invocation Contract
An ordinary explicit request such as set up marketing context, remember our tone of voice, or update the audience starts Auto-draft. Do not require the user to know the schema.
An interview is a separate, deliberate branch. Start it only when the user explicitly asks to be interviewed or to answer setup questions. Natural language is sufficient; do not depend on client-specific slash commands or command syntax.
Installation, opening a project, mentioning marketing, finding an existing context, or another skill reporting missing context is not write intent. In those situations, do not invoke this workflow, ask setup questions, create directories, or write files.
Runtime
Follow the context spine in order. It is the single authority for stage order and completion criteria.
Load only the reference selected by the active stage. Evaluation cases are maintainer material and are never runtime dependencies.
Storage Contract
Write only .agents/marketing-context.md inside the current repository. Create .agents/ only after explicit write intent and only when a write will occur.
Do not create or maintain global state, last-used profiles, private variants, additional repository contexts, or CONTEXT-MAP.md. Do not write fallback context files.
Output Contract
After a successful write, briefly confirm whether .agents/marketing-context.md was created or updated, link the file, and list only the sections changed in this run. Show the full file only when the user explicitly asks for it.
For an Interview session, the final stop or seven-question-limit confirmation may list all sections safely saved across that current session even when the final pass itself is a no-write pass. If the user stops before confirming any answer, use the zero-write close response from references/interview.md instead of linking a nonexistent file or listing sections.
What ships with it
31 files 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.
- agents/openai.yaml 416 B
- assets/icon-large.svg 2.3 KB
- assets/icon-small.svg 2.3 KB
- evals/case-template.md 956 B
- evals/cases/context-conflict-011.md 1.3 KB
- evals/cases/context-direct-update-003.md 1.5 KB
- evals/cases/context-interview-empty-stop-022.md 1.4 KB
- evals/cases/context-interview-explicit-004.md 1.3 KB
- evals/cases/context-interview-limit-005.md 1.7 KB
- evals/cases/context-interview-stop-006.md 1.4 KB
- evals/cases/context-legacy-migration-021.md 2.0 KB
- evals/cases/context-legacy-precedence-023.md 1.2 KB
- evals/cases/context-merge-preservation-010.md 1.5 KB
- evals/cases/context-mixed-hypothesis-016.md 1.4 KB
- evals/cases/context-natural-invocation-001.md 1.5 KB
- evals/cases/context-no-hypotheses-009.md 1.2 KB
- evals/cases/context-nonmarketing-memory-024.md 2.2 KB
- evals/cases/context-output-shape-014.md 1.0 KB
- evals/cases/context-partial-file-008.md 1.2 KB
- evals/cases/context-passive-noop-002.md 1.3 KB
- evals/cases/context-protected-facts-013.md 1.8 KB
- evals/cases/context-repository-isolation-012.md 1.2 KB
- evals/cases/context-sparse-repo-007.md 1.2 KB
- evals/cases/context-stored-wording-015.md 1.0 KB
- evals/README.md 2.6 KB
- references/context-schema.md 2.9 KB
- references/context-spine.md 4.3 KB
- references/interview.md 2.6 KB
- references/invocation-and-scope.md 3.4 KB
- references/merge-and-conflicts.md 4.0 KB
- references/source-policy.md 2.5 KB
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.
- 2mo ago First seen · 43 lines · 70 tokens per session scan A fefb4d830d15
a1-marketing-context is a skill published in the GitHub repository ztemerbekov/a1-marketing-skills (8 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 638 once invoked, about $0.0003 per session on Opus 5.5. 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.
a1-marketing-context compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| a1-marketing-contextztemerbekov/a1-marketing-skills | Skill | 8 | 1mo ago | MIT | A | 70 | Claude Code, Codex |
| deai_humanizemateaix/mateclaw | Skill | 1.2k | 2d ago | Apache-2.0 | A | 82 | Claude Code, Codex |
| analytics-strategyrampstackco/claude-skills | Skill | 1.0k | 11d ago | MIT | A | 126 | Claude Code |
| cro-optimizationrampstackco/claude-skills | Skill | 1.0k | 11d ago | MIT | A | 123 | Claude Code |
| communityericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 77 | Claude Code, Codex |
| newsletterericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 80 | Claude Code, Codex |
| research-seo-demandtsingyuai/growth-lab | Skill | 2.0k | 1mo ago | Apache-2.0 | A | 102 | Codex |