Borrowing it
Nothing to install: this file belongs to galiprandi/job-seeker. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/galiprandi/job-seeker/main/.agents/skills/dashboard/SKILL.mdgit clone --depth 1 https://github.com/galiprandi/job-seekerWrote 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/galiprandi/job-seeker/dashboard)<a href="https://agentmods.dev/skills/galiprandi/job-seeker/dashboard"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/dashboard/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/galiprandi/job-seeker/dashboard"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/dashboard.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 | $0.00046 | $0.00679 |
| Opus 5.5 | $0.00018 | $0.00272 |
| Sonnet 5.5 | $0.00009 | $0.00136 |
| Haiku 4.5 | $0.00005 | $0.00068 |
Grade A, and why
dashboard 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 1mo 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.
Dashboard
When to open
Open the dashboard at the end of any round that changes the pipeline:
- After
applyfinishes applying to jobs - After
newsfinishes processing updates - After
dailycompletes its routine - After
targetsfinishes registering or applying - When the user says
dashboard, "show me the pipeline", "show dashboard"
How to open
node scripts/dashboard.js --open
This starts a local server at http://localhost:7531 and opens it in the user's default browser. The dashboard auto-refreshes every 30 seconds.
What it shows
- Stats bar: active count, in-interview count, offers, rejections, closed total
- Funnel chart: visual bar chart of pipeline stages (discovered -> hired)
- Kanban board: columns for each active stage with cards showing company, role, match level, platform, and date
- Target companies: registration status summary (pending, registered, no fit, etc.)
- Recent messages: last 10 recruiter/contact messages with channel, sender, subject, and status
Rules
- Always use
--openflag so it opens automatically - If port 7531 is in use, use
--port <alternative> - The dashboard is read-only. To move cards, use
scripts/pipeline.js --move <id> <stage> - The dashboard auto-refreshes, so the user can keep it open during a session
- Close the dashboard server with Ctrl+C when the session is done
Script reference
scripts/pipeline.js -- Pipeline kanban board
The kanban board for tracking applications and contacts. Unifies LinkedIn invites, direct emails, and formal applications into a single pipeline with canonical stages.
# Full board (active cards)
node scripts/pipeline.js
# Include closed (rejected, withdrawn, skipped)
node scripts/pipeline.js --closed
# Funnel summary (counts per stage)
node scripts/pipeline.js --funnel
# Filter by stage
node scripts/pipeline.js --stage interview
# Filter by company
node scripts/pipeline.js --company <company>
# Move a card to another stage (updates status + adds to stage_history)
node scripts/pipeline.js --move 82 interview
# View card detail (with linked messages via application_id)
node scripts/pipeline.js --card 82
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.
- 1mo ago First seen · 74 lines · 46 tokens per session scan A fefa60a8f8fd
dashboard is a skill published in the GitHub repository galiprandi/job-seeker (58 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 679 once invoked, about $0.0002 per session on Opus 5.5. 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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