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 shawnpang/startup-founder-skills --skill employer-brandgit clone --depth 1 https://github.com/shawnpang/startup-founder-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/shawnpang/startup-founder-skills/employer-brand)<a href="https://agentmods.dev/skills/shawnpang/startup-founder-skills/employer-brand"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/employer-brand/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/shawnpang/startup-founder-skills/employer-brand"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/employer-brand.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 | $0.00029 | $0.01933 |
| Opus 5 | $0.00015 | $0.00966 |
| Sonnet 5 | $0.00006 | $0.00387 |
| Haiku 4.5 | $0.00003 | $0.00193 |
Grade A, and why
employer-brand 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- employer-brand — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Employer Brand
When to Use
Activate when the user asks to write careers page copy, create a culture document, draft an engineering blog post, build "day in the life" content, document company values, or generally improve how the company presents itself to prospective hires. Also activate when the user is struggling to differentiate their startup from competitors in the talent market.
Context Required
- From startup-context: Company name, mission, stage, team size, founding story, values (stated or practiced), remote/hybrid/onsite policy, notable perks, and any existing brand voice guidelines.
- From user: The specific content type needed, target audience (engineers, designers, go-to-market, general), existing content to build on (if any), and what makes the company genuinely distinctive as a workplace.
Workflow
- Identify the authentic story — Ask the user what is genuinely true and distinctive about working at this company. Employer brand must be rooted in reality or it backfires at onboarding. Probe for specific stories, rituals, and decisions that reveal culture.
- Choose the content format — Select from: careers page, values document, engineering blog post, "day in the life" feature, team spotlight, hiring process transparency post, or culture deck.
- Draft the content — Write using the Voice-Evidence-Proof framework (see below). Lead with what candidates care about (impact, growth, people, flexibility), not what the company cares about (mission statements in a vacuum).
- Ground every claim in evidence — For each cultural claim, attach a specific example, policy, or anecdote. "We value work-life balance" becomes "We have no meetings on Wednesdays and our average team member works 42 hours/week."
- Calibrate the tone — Match the company's actual communication style. A developer tools startup sounds different from a healthcare company. Avoid generic startup voice.
- Review for authenticity — Flag any claims that feel aspirational rather than current. Mark those explicitly or remove them. Candidates trust specificity and distrust superlatives.
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 · 142 lines · 29 tokens per session scan A 77cb48690fdd
employer-brand is a skill published in the GitHub repository shawnpang/startup-founder-skills (321 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 1,933 once invoked, about $0.0001 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 2026-08-30.
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