Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/leopu00/job-hunter-teamnpx agentmods add skills/leopu00/job-hunter-team/check-usage-tuiWrote 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/leopu00/job-hunter-team/check-usage-tui)<a href="https://agentmods.dev/skills/leopu00/job-hunter-team/check-usage-tui"><img src="https://agentmods.dev/badge/skills/leopu00/job-hunter-team/check-usage-tui/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/leopu00/job-hunter-team/check-usage-tui"><img src="https://agentmods.dev/badge/skills/leopu00/job-hunter-team/check-usage-tui.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 | $0.00065 | $0.01334 |
| Opus 5 | $0.00032 | $0.00667 |
| Sonnet 5 | $0.00013 | $0.00267 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
check-usage-tui scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill — Check usage via TUI worker (robusto, ~30s, costoso in token)
QUANDO USARLA
Solo come L2 dopo che L1 (HTTP) ha fallito. È robusta perché bypassa il rate-limit Anthropic (legge dal CLI locale), ma costa:
- ~30s di tempo (spawn worker + boot CLI + render modal)
- alcuni token Claude (apertura sessione + /usage)
- rischio di TUI in stato anomalo (Loading, scaduto, etc.)
Ordine di fallback: HTTP → TUI → FATAL.
Workflow
Step 1 — Provider attivo
python3 -c "import json; print(json.load(open('/jht_home/jht.config.json'))['active_provider'])"
Step 2 — Spawn sessione tmux EFFIMERA
Nome unico col timestamp (no collisione):
SESS="SENTINELLA-WORKER-$(date +%s)"
tmux new-session -d -x 220 -y 50 -s "$SESS" -c /jht_home
tmux send-keys -t "$SESS" "export HOME='/jht_home'" C-m
tmux send-keys -t "$SESS" "export PATH='/app/agents/_tools:/jht_home/.npm-global/bin:\$PATH'" C-m
tmux send-keys -t "$SESS" "export KIMI_CLI_NO_AUTO_UPDATE=1" C-m
Step 3 — Lancia il CLI provider
| Provider | Comando |
|---|---|
claude / anthropic |
claude --dangerously-skip-permissions |
kimi / moonshot |
kimi --yolo |
codex / openai |
codex --yolo |
tmux send-keys -t "$SESS" "<comando>" C-m
sleep 18 # boot + eventuale trust dialog auto-accept
Step 4 — Slash command
| Provider | Slash command |
|---|---|
claude / anthropic |
/usage |
kimi / moonshot |
/usage |
codex / openai |
/status (NON /usage!) |
tmux send-keys -t "$SESS" "<slash>" Enter
sleep 4 # render modal
⚠️ NIENTE Esc preventivo prima del slash command: rompe Kimi (interpreta /usage come testo) e per gli altri è inutile in sessione fresh.
Step 5 — Capture pane
tmux capture-pane -t "$SESS" -p -S -100
Leggi il pane coi tuoi occhi LLM, estrai usage, reset, weekly.
Format Claude
Current session
████████ 45% used
Resets 8:10pm (UTC)
Current week (all models)
████ 25% used
Resets Apr 27, 5am (UTC)
→ usage=45, reset=20:10 UTC, weekly=25
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 142 lines · 65 tokens per session scan A bfd0f05f705d
check-usage-tui is a skill published in the GitHub repository leopu00/job-hunter-team (49 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,334 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 2026-09-03.
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