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 tmargolis/career-navigator --skill market-briefgit clone --depth 1 https://github.com/tmargolis/career-navigatorWrote 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/tmargolis/career-navigator/market-brief)<a href="https://agentmods.dev/skills/tmargolis/career-navigator/market-brief"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/market-brief/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/tmargolis/career-navigator/market-brief"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/market-brief.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 | $0.00041 | $0.01243 |
| Opus 5 | $0.00020 | $0.00622 |
| Sonnet 5 | $0.00008 | $0.00249 |
| Haiku 4.5 | $0.00004 | $0.00124 |
Grade A, and why
market-brief 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scheduling (Claude Cowork)
Recommended: run weekly via Cowork /schedule (e.g. same day each week) so market signals stay fresh without daily noise. Example scheduled payload:
Run
/career-navigator:market-brief(Career Navigatormarket-briefskill) for my configured{user_dir}.
Invoke the market-researcher agent to generate a current market intelligence brief grounded in the user's role targets and location preferences.
Important invocation/data-source rules:
- Use the exact agent name
market-researcher(no aliases). - Do not fail the skill because external web connectors are unavailable.
- Default to local evidence (
profile.md,tracker.json,ExperienceLibrary.json, analyst norm tables, and AI report) unless the user explicitly asks for live web sourcing. - If external sourcing is requested and unavailable, continue with local evidence and label confidence limits.
Workflow
1. Confirm required context
Application data uses the split layout defined in references/tracker-schema.md — read it before any read or write.
Read {user_dir}/CareerNavigator/profile.md.
If target roles are missing:
"I need your target role(s) to generate a market brief. Run
/career-navigator:launch(or updateCareerNavigator/profile.md) with your target roles first."
If location preferences are missing, continue but mark geographic confidence as limited.
Optionally read:
{user_dir}/CareerNavigator/tracker.jsonfor user-specific conversion/timeline signals — the summary rows (status,outcome,date_applied,latest_stage,latest_stage_date) carry these; this skill does not need per-application stage history, so do not opendetail_files{user_dir}/CareerNavigator/ExperienceLibrary.jsonfor capability-fit context
2. Invoke market-researcher
Hand off to market-researcher with:
- The full
CareerNavigator/profile.md - The full
CareerNavigator/tracker.json(if present) — summary rows only; note to the agent that stage history lives inapplications/<application_id>.jsonand is not needed for this brief - The full
CareerNavigator/ExperienceLibrary.json(if present) - Instruction to include all three required sections:
- Role demand trends
- AI/automation displacement outlook
- Geographic competitiveness signals
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 · 135 lines · 41 tokens per session scan A 69cf387fdda8
market-brief is a skill published in the GitHub repository tmargolis/career-navigator (13 stars, last pushed 13d ago), licensed Apache-2.0. It adds 41 tokens to every session and 1,243 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 2026-08-30.
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