profile-memory

profile-memory is a skill for Claude Code, Codex from snehag01/rebound. It costs 45 tokens per session (631 once invoked), scanned A, original, MIT.

A saved career profile that Rebound keeps on the computer for reuse. It stores contact details, work history, skills, preferences, and private job-search circumstances in machine-readable and human-readable files.

In plain words
What is it for?
It supports tasks that read, update, or reason about the saved profile, including tailoring resumes, matching roles, and planning next steps.
Why use it?
It removes the need to enter the same career details for every job-search task. Keeping both files updated also makes the information available to tools and readable by the user.

Skill for Claude CodeCodex

Part of the rebound plugin — 3 skills, 7 commands 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 skills/snehag01/rebound/profile-memory
Any agent
npx skills add snehag01/rebound --skill profile-memory
Clone the repo
git clone --depth 1 https://github.com/snehag01/rebound

Made for: Claude Code, Codex.

Or install rebound, the plugin that ships this one along with the rest of its 3 skills, 7 commands.

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 profile-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/snehag01/rebound/profile-memory.svg)](https://agentmods.dev/skills/snehag01/rebound/profile-memory)
Your own site
<a href="https://agentmods.dev/skills/snehag01/rebound/profile-memory"><img src="https://agentmods.dev/badge/skills/snehag01/rebound/profile-memory.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 631 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 $0.00045 $0.00631
Opus 5 $0.00023 $0.00316
Sonnet 5 $0.00009 $0.00126
Haiku 4.5 $0.00005 $0.00063

Measured 5d ago against content hash b8d85765ef7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

profile-memory 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.

skills/profile-memory/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Profile & Memory

Rebound persists one profile per machine so the user never re-enters their details. It is the reusable base for every /rebound:tailor, /rebound:match, and /rebound:rise.

Location & format

  • ~/.rebound/profile.json — machine-readable (authoritative).
  • ~/.rebound/profile.md — human-readable mirror (keep in sync on every write).
  • ~/.rebound/pylibs/ — bundled python deps (python-docx).

Create ~/.rebound/ if missing. On updates, rewrite both files and confirm.

Schema

{
  "name": "", "contact": "", "current_title": "", "years_experience": "",
  "base_resume_path": "",
  "primary_stack": [], "secondary_stack": [], "differentiators": [],
  "roles": [{"title": "", "org": "", "location": "", "dates": "", "bullets": []}],
  "education": [], "certifications": [],
  "situation": {
    "work_authorization": null,      // high-level only: "no sponsorship needed" | "will need sponsorship" | null
    "timeline": null,                // absolute dates + runway, e.g. "authorization/sponsorship deadline ~2026-08-15; ~60 days"
    "target_roles": [], "locations": [], "work_mode": null, "notes": null
  },
  "preferences": {
    "framing_notes": [
      "fast learner across stacks; strong OOP/systems fundamentals",
      "surface secondary skills but never above primary stack",
      "honesty-first: never claim expertise in unused tech"
    ]
  }
}

The private "situation" — handle with care

This block is sensitive and personal. Rules:

  • Local only. Never transmit it to any external service or include it in a resume/PDF.
  • Don't echo the values unless the user explicitly asks to see them.
  • Use it to serve the user: set urgency from timeline; respect work_authorization when judging whether a role must sponsor; prioritize accordingly.
  • Be supportive — this is often stressful, time-boxed information. Never pressure or judge.

Reasoning with the profile

  • primary_stack ranks first in every tailored resume; secondary_stack is surfaced only when a JD needs it.
  • differentiators lead in summaries and referral notes.
  • framing_notes are defaults applied during tailoring; the user can edit them via /rebound:profile.
  • Keep the raw roles[].bullets verbatim as the truth source; tailoring re-words copies of them, never the stored originals.

Read the full file on GitHub · 52 lines

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. 5d ago First seen · 52 lines · 45 tokens per session scan A b8d85765ef7c

Subscribe to this mod's changes

profile-memory is a skill published in the GitHub repository snehag01/rebound (4 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 631 once invoked, about $0.0002 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.

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