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 ai-analysisgit 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/ai-analysis)<a href="https://agentmods.dev/skills/tmargolis/career-navigator/ai-analysis"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/ai-analysis.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.00660 |
| Opus 5 | $0.00028 | $0.00330 |
| Sonnet 5 | $0.00011 | $0.00132 |
| Haiku 4.5 | $0.00006 | $0.00066 |
Grade A, and why
ai-analysis 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 7d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Invoke the analyst agent to assess AI and automation displacement risk for the user's current and target roles.
Workflow
1. Confirm data exists
Read {user_dir}/CareerNavigator/ExperienceLibrary.json and {user_dir}/CareerNavigator/profile.md. If the ExperienceLibrary units array is empty or profile.md has no target roles:
"I need your ExperienceLibrary and target roles to run a displacement assessment. Run
/career-navigator:add-sourceto add a resume, then/career-navigator:launchto set your target roles."
Otherwise, proceed.
2. Invoke analyst — Operation 3
Hand off to the analyst agent with:
- The full
CareerNavigator/ExperienceLibrary.json - The full
CareerNavigator/profile.md - Instruction to read
references/AI_Job_Report-Anthropic-2026-03.pdfbefore analysis
The agent will decompose the user's current and target roles into tasks, score each task against the Economic Index, build a role-level risk profile, identify durable differentiators, and suggest narrative reframes where needed.
3. Present the assessment
**AI Displacement Assessment** — {Role}
{1–2 sentence highlight: overall risk posture and the single most important durable differentiator to lead with}
Overall risk profile
High displacement risk tasks: {n}% — {examples}
Moderate displacement risk tasks: {n}% — {examples}
Low displacement risk tasks: {n}% — {examples}
Tasks most likely to be automated (2–5 year horizon)
- {Task} — {why it's at risk per Economic Index data}
Durable strengths
- {Capability} — {why it is low risk and likely to grow in value}
Narrative reframe
{If the user's positioning overweights high-risk tasks, specific suggestions for reframing toward durable capabilities in resume summaries, cover letters, and outreach}
Adjacent capabilities worth developing
- {Skill/area} — {why it's strategically valuable given the user's existing foundation}
Source: Anthropic Economic Index, {report date}
If multiple target roles are present in profile.md, run a separate assessment for each and present them in sequence.
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.
- 7d ago First seen · 74 lines · 55 tokens per session scan A ce60a92a2439
ai-analysis is a skill published in the GitHub repository tmargolis/career-navigator (13 stars, last pushed 9d ago), licensed Apache-2.0. It adds 55 tokens to every session and 660 once invoked, about $0.0003 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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