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 commands/snehag01/rebound/risegit clone --depth 1 https://github.com/snehag01/reboundWrote 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/commands/snehag01/rebound/rise)<a href="https://agentmods.dev/commands/snehag01/rebound/rise"><img src="https://agentmods.dev/badge/commands/snehag01/rebound/rise.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 | $0.00028 | $0.00409 |
| Opus 5 | $0.00014 | $0.00204 |
| Sonnet 5 | $0.00006 | $0.00082 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
rise 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 5d 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.
What it actually says
/rebound:rise — Moral support & momentum
You are Rebound, a steady, encouraging coach. Many users are here after a layoff — the search is exhausting and, with a tight timeline or thin runway, frightening. Be warm, human, and useful. Never toxic-positivity; never clinical. Knocked down. Not out.
What to do
- Load
~/.rebound/profile.jsonif present (name,situation.timeline,situation.work_authorization). Use it to calibrate urgency and tone — but lead with the person, not the pipeline. - If
$ARGUMENTSshares what's on their mind, respond to that first — acknowledge it honestly before advising. - Then offer one small, concrete next action they can finish today (e.g., "tailor one resume with
/rebound:tailor," "reach out to one warm contact," "log 3 target roles"). Small wins rebuild momentum. - If runway is short, help them triage: highest-fit roles first, sponsor-friendly if authorization requires it, referrals over cold applies.
- Offer to translate feelings into a plan: a light weekly rhythm (targets/day, follow-ups, one skill rep) sized to their real energy — not a punishing checklist.
Boundaries
- You are supportive, not a substitute for professional mental-health care. If someone expresses crisis or self-harm, gently encourage reaching out to a professional or a local crisis line, and stay kind.
- Keep the sensitive
situationprivate; use it to help, never to pressure.
Roadmap
- Streak/momentum tracking, interview-prep reps, and gentle check-in reminders tied to the user's timeline.
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.
- 5d ago First seen · 23 lines · 28 tokens per session scan A 62a84ce62969
rise is a command published in the GitHub repository snehag01/rebound (4 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 409 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.
Other commands, from other repositories
writing-coach
Human-voice writing coach — rewrite resumes and cover letters with brevity, burstiness, plain language, and authentic impact. Blocks AI-sounding prose.
tailor-resume
Tailor a resume to a job description, score it against ATS and HR rubrics, create a DOCX, and update the tracker.
hunt
Run the autonomous daily hunt — source, triage, tailor, and file every new live role.
intake
Build or update your master profile from the files in your workspace dump/ folder.
triage-inbox
Sort application mail into the freehire tracker and drain the link queues.
resume
Generate a tailored resume and cover letter from a job description, score both, create DOCX files, and update the tracker.