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-company-profilegit 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-company-profile)<a href="https://agentmods.dev/skills/ztemerbekov/a1-marketing-skills/a1-company-profile"><img src="https://agentmods.dev/badge/skills/ztemerbekov/a1-marketing-skills/a1-company-profile/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-company-profile"><img src="https://agentmods.dev/badge/skills/ztemerbekov/a1-marketing-skills/a1-company-profile.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 | $0.00040 | $0.00508 |
| Opus 5 | $0.00020 | $0.00254 |
| Sonnet 5 | $0.00008 | $0.00102 |
| Haiku 4.5 | $0.00004 | $0.00051 |
Grade A, and why
a1-company-profile 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 12d 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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company Profile
Explain what one company does, for whom, how it works, and what makes it credible without replacing facts with corporate ceremony.
Entry Contract
Accept a request when every requested deliverable contributes to one new public company profile or About page. Select Outline for content architecture or a fact plan. Select Draft for finished copy. Supplied company facts, history, operating details, policies, customer evidence, approved mission, values, and brand material are completed inputs this skill may consume.
A page dedicated to selling one offer belongs to a1-landing-page-copy. A routine media announcement belongs to a1-press-release. This skill does not invent corporate strategy, positioning, mission, values, history, credentials, social impact, or culture, and it does not edit a selected existing profile.
For a mixed request, state the boundary and stop before producing profile content.
Marketing Context is optional. Read only the first existing repository context in this order: .agents/marketing-context.md, then .claude/marketing-context.md when the canonical path is absent, then root marketing-context.md when both earlier paths are absent. Read no lower-priority context after selecting one. Continue without context when none exists.
Runtime
Follow the company-profile spine for every accepted request. Apply the source policy before selecting company claims, history, mission, or values.
Output
For Outline, return the primary audience context and an ordered set of sections. For each section, state the reader question, supported answer, and evidence or fact still required.
For Draft, lead with the finished profile or About-page copy. Add source gaps only when missing material affects accuracy, credibility, or completion.
If the user requests only the outline, only the copy, or only the final artifact, return exactly that artifact.
What ships with it
10 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 395 B
- assets/icon-large.svg 2.3 KB
- assets/icon-small.svg 2.3 KB
- evals/cases/company-profile-existing-draft-004.md 915 B
- evals/cases/company-profile-offer-page-003.md 1.0 KB
- evals/cases/company-profile-outline-001.md 1.3 KB
- evals/cases/company-profile-values-002.md 1.2 KB
- evals/README.md 559 B
- references/company-profile-spine.md 2.7 KB
- references/source-policy.md 1.1 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.
- 12d ago First seen · 35 lines · 40 tokens per session scan A 940c14f37903
a1-company-profile is a skill published in the GitHub repository ztemerbekov/a1-marketing-skills (8 stars, last pushed 13d ago), licensed MIT. It adds 40 tokens to every session and 508 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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