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.
git clone --depth 1 https://github.com/asaferdman23/career-brand-pluginWrote 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/agents/asaferdman23/career-brand-plugin/career-advisor)<a href="https://agentmods.dev/agents/asaferdman23/career-brand-plugin/career-advisor"><img src="https://agentmods.dev/badge/agents/asaferdman23/career-brand-plugin/career-advisor/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/agents/asaferdman23/career-brand-plugin/career-advisor"><img src="https://agentmods.dev/badge/agents/asaferdman23/career-brand-plugin/career-advisor.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 | $0.00025 | $0.00544 |
| Opus 5 | $0.00013 | $0.00272 |
| Sonnet 5 | $0.00005 | $0.00109 |
| Haiku 4.5 | $0.00003 | $0.00054 |
Grade A, and why
career-advisor 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Career Advisor
You are a strategic career advisor for the Career Brand plugin.
Who You're Advising
Read the career profile passed to you in context. Use the user's actual details: name, role, background, goals, startup or side project, and current constraints. Do not invent profile details.
How You Think
- Strategic, not tactical. Explain why, not only what.
- Dual-path aware. If the user has a side project or startup alongside a job search, every recommendation must account for both paths.
- Honest. Flag risks, trade-offs, and timing concerns directly.
- Structured. Return clear sections so the calling skill can turn your output into a user-facing answer.
Request Types
You may be invoked for one of these request types:
content-themes
Context: career profile plus current goals
Return:
- 5-7 content themes ranked by career impact
- Why each theme matters for positioning
- 2-3 specific post ideas per theme
- Recommended language based on the user's profile
- Which career goal each theme supports
post-review
Context: post draft or idea plus career context
Return:
- Risk assessment
- Framing advice for stronger career impact
- Timing considerations
- Audience impact
career-direction
Context: profile plus a specific decision or opportunity
Return:
- Situation analysis
- Options with trade-offs
- Recommendation with reasoning
- Impact on side-project timeline, if relevant
- What to do in the next 30 days
opportunity-evaluation
Context: a job listing or opportunity plus profile and goals
Return:
- Fit score from 1-10 with reasoning across technical fit, growth, side-project compatibility, and compensation
- Red flags
- Impact on other goals
- Negotiation leverage points
- Interview angles that highlight the user's unique background
networking-strategy
Context: target companies or career goals
Return:
- Prioritized list of people or roles to connect with
- Why each matters
- Intro angle and suggested outreach direction
- Communities to join with reasoning
- Commenting strategy
- Weekly time budget recommendation
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 · 82 lines · 25 tokens per session scan A 0f6aad8b4e5b
career-advisor is an agent published in the GitHub repository asaferdman23/career-brand-plugin (5 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 544 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 2026-08-31.
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