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 agentmods add skills/tmargolis/career-navigator/list-artifactsnpx skills add tmargolis/career-navigator --skill list-artifactsgit 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/list-artifacts)<a href="https://agentmods.dev/skills/tmargolis/career-navigator/list-artifacts"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/list-artifacts.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.00822 |
| Opus 5 | $0.00032 | $0.00411 |
| Sonnet 5 | $0.00013 | $0.00164 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
list-artifacts 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 6d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Display the user's artifact inventory in a readable format.
Workflow
1. Read the inventory
Read {user_dir}/CareerNavigator/artifacts-index.json. If the file does not exist or the artifacts array is empty:
"No artifacts yet. Run
/career-navigator:tailor-resumefor a resume, or/career-navigator:content-suggestand ask for a full post draft to save a LinkedIn draft to disk."
2. Cross-reference with tracker
Application data uses the split layout defined in references/tracker-schema.md — read it before any read or write.
Read {user_dir}/CareerNavigator/tracker.json. For each artifact, check whether it appears in any summary row's artifacts[] array. If so, note that row's current status, its application label ("<company> — <role>"), and its outcome — this lets the user see which resumes and cover letters are attached to live applications and what outcome (if any) they produced.
The summary rows carry everything this listing needs. Do not open
applications/<application_id>.json or contacts/<company-slug>.json here — artifact
links live on the row, and loading detail files for every application to print a list
is exactly what the split layout exists to avoid.
3. Organize the output
Group artifacts by type: resumes first, then cover letters, then linkedin_post (saved post drafts from writer), then any other types. Within each group, sort by date_created descending (most recent first).
Format for each artifact:
{n}. {filename}
Target: {Company} — {Role} (or "Base / unattached" if no target; for linkedin_post use "—" or notes topic)
Created: {date_created}
ATS score: {ats_score}/100 (omit if not available or not applicable)
Used in: {row's `application` label, status: {status}} (omit if not linked to any application)
For type: "linkedin_post", omit ATS and usually Used in; show notes or path if helpful so the user can find the draft on disk.
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.
- 6d ago First seen · 73 lines · 63 tokens per session scan A 95c35904621a
list-artifacts is a skill published in the GitHub repository tmargolis/career-navigator (13 stars, last pushed 7d ago), licensed Apache-2.0. It adds 63 tokens to every session and 822 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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