dashboard

dashboard is a command for Claude Code from soheilfallah/jobxhunter. It costs 23 tokens per session (257 once invoked), scanned A, original, MIT.

A command that turns job-application tracking data into a self-contained HTML dashboard. The dashboard shows the application funnel, statuses, categories, and recruiter scores, and works without an internet connection.

In plain words
What is it for?
Use it to create an offline dashboard from a tracker CSV, including apply-to-interview-to-offer conversion, status and category breakdowns, and recruiter-score distribution.
Why use it?
It makes progress and outcomes easier to inspect than a raw tracking table, while leaving the tracked applications unchanged and keeping the data in the local workspace.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the jobxhunter plugin — 1 skill, 8 commands, 2 agents, 3 MCP servers shipped together

Install

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.

agentmods
npx agentmods add commands/soheilfallah/jobxhunter/dashboard
Clone the repo
git clone --depth 1 https://github.com/soheilfallah/jobxhunter

Made for: Claude Code.

Or install jobxhunter, the plugin that ships this one along with the rest of its 1 skill, 8 commands, 2 agents, 3 MCP servers.

Wrote 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.

agentmods badge for dashboard

README.md
[![agentmods](https://agentmods.dev/badge/commands/soheilfallah/jobxhunter/dashboard.svg)](https://agentmods.dev/commands/soheilfallah/jobxhunter/dashboard)
Your own site
<a href="https://agentmods.dev/commands/soheilfallah/jobxhunter/dashboard"><img src="https://agentmods.dev/badge/commands/soheilfallah/jobxhunter/dashboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 257 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.00257
Opus 5 $0.00012 $0.00129
Sonnet 5 $0.00005 $0.00051
Haiku 4.5 $0.00002 $0.00026

Measured 6d ago against content hash 8e22f653de87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 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.

commands/dashboard.md · 25 lines

What it actually says

Use the jobxhunter skill's DASHBOARD routine.

Resolve the workspace (explicit path → JOBXHUNTER_DIR → discovery; see SKILL.md). Run the deterministic renderer against the tracker's CSV mirror and open the result:

python "$root/scripts/dashboard.py" --root "<applications_dir>" --out "<workspace>/dashboard.html"

<applications_dir> is the folder that holds tracker.csv. It writes one self-contained HTML file — headline tiles, the apply→interview→offer funnel with conversion, status and category breakdowns, and the recruiter-score spread — that opens offline and makes no network requests. Bars are labelled, so meaning never rests on colour alone.

Your real data stays in the gitignored workspace; nothing is sent anywhere. Point a browser at the file, or share the HTML itself. This routine is read-only over the tracker — it never edits an application row.

Follow SKILL.md ("Command: DASHBOARD").

Changes

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.

  1. 6d ago First seen · 25 lines · 23 tokens per session scan A 8e22f653de87

Subscribe to this mod's changes

dashboard is a command published in the GitHub repository soheilfallah/jobxhunter (8 stars, last pushed 9d ago), licensed MIT. It adds 23 tokens to every session and 257 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.