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/throttleWrote 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/throttle)<a href="https://agentmods.dev/skills/leopu00/job-hunter-team/throttle"><img src="https://agentmods.dev/badge/skills/leopu00/job-hunter-team/throttle/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/throttle"><img src="https://agentmods.dev/badge/skills/leopu00/job-hunter-team/throttle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 3 Subtle instructions detected that may alter agent decision-making or introduce hidden biases.Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
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 | $0.00133 | $0.01229 |
| Opus 5 | $0.00067 | $0.00615 |
| Sonnet 5 | $0.00027 | $0.00246 |
| Haiku 4.5 | $0.00013 | $0.00123 |
Grade A, and why
throttle 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 10d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
throttle — register the pause, then stop
throttle <your-name> [--reason "..."]
Returns immediately. Then close your turn: no other task, no other command.
Why it works this way
Until 2026-07-30 the throttle was a contract you had to honour yourself:
jht-throttle blocked your own process with a sleep loop, and if that process
died you had to notice and re-block. Every failure we observed in production was
born from that design. The worst one: an Analyst launched
jht-throttle … & inside a compound command that the tool-call timeout killed
after 60s. The detached child died with its parent, the agent closed its turn
convinced the pause was running — and nobody ever woke it again. 2h15m of
stall, with the watchdog reporting the session as idle = healthy.
Now the timer belongs to an engine that is not a child of your shell:
YOU ENGINE (daemon, outside your process)
| |
|-- throttle <me> ------------>| reads the duration the Capitano calibrated
| | flags you IN_THROTTLE
| (you close the turn | arms the timer ON DISK
| and do NOTHING) |
| |
|<-- [RIPRENDI] over tmux -----| timer expired -> flag becomes NOTIFIED
| |
|-- throttle-ack <me> -------->| YOU flip NOTIFIED -> ACTIVE
| (first act on waking) |
A daemon restart loses nothing: the deadline is an absolute timestamp on disk, so there is no in-memory timer to re-arm.
The rules
- You never pass a number and you never see one. The duration lives in
$JHT_HOME/config/throttle.json, the Capitano owns it, and the engine reads it when it arms the timer — so a recalibration bites on your next cycle without anyone having to tell you. Do not hardcodethrottle 600in your loop. - END YOUR TURN after the call. The call returns in milliseconds precisely so that no tool-call timeout can kill it. If you keep working after it, you are running with no pause at all — which is what the throttle exists to prevent.
- NEVER background it (
&,nohup,disown, a background task). There is nothing to background: it does not sleep. - NEVER use raw
sleep Nfor a throttle pause. Plainsleepis only for very short waits between retries (≤ 5 s), where logging would be noise. - On waking,
throttle-ack <your-name>is your first command — see thethrottle-ackskill. Skip it and your flag stays onNOTIFIED, which the watchdog reads as proof that you are blocked, and it escalates to the Capitano about an agent that is perfectly fine. --reasonis optional but useful: a short tag ("post-batch","waiting for the critic") makeslogs/throttle-engine.jsonlreadable later.
What ships with it
7 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.
- 10d ago First seen · 103 lines · 133 tokens per session scan A 3a8f78831a03
throttle is a skill published in the GitHub repository leopu00/job-hunter-team (49 stars, last pushed 2d ago), licensed MIT. It adds 133 tokens to every session and 1,229 once invoked, about $0.0007 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.
Other skills, from other repositories
persona-event-coordinator
Plan and manage events — scheduling, invitations, and logistics.
persona-team-lead
Lead a team — run standups, coordinate tasks, and communicate.
persona-researcher
Organize research — manage references, notes, and collaboration.
recipe-save-email-attachments
Find Gmail messages with attachments and save them to a Google Drive folder.
recipe-draft-email-from-doc
Read content from a Google Doc and use it as the body of a Gmail message.
recipe-review-meet-participants
Review who attended a Google Meet conference and for how long.