Agent skill

Job Apply Answer Memory

by neonwatty in neonwatty/job-apply-plugin

Storage contract for the Job Apply plugin: manages the local applicant profile, reusable answers, application history and resumable sessions through a bundled helper script.

MITAuto-check: notesBusiness, Finance & HR

Install Job Apply Answer Memory

skills CLI
$ npx skills add neonwatty/job-apply-plugin --skill answer-memory -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install neonwatty/job-apply-plugin answer-memory --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/neonwatty/job-apply-plugin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/answer-memory .claude/skills/answer-memory && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
answer-memory
GitHub stars
119
Token cost
~2.9k tokens
SKILL.md length
1,225 words
Files
2 (incl. references)
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Storage contract for the Job Apply plugin: manages the local applicant profile, reusable answers, application history and resumable sessions through a bundled helper script.

  • Works in 3 steps: In Codex, use the installed skill path… → In Claude Code, use CLAUDE_PLUGIN_ROOT… → Never assume the current working…
  • Initializing or migrating the local Job Apply profile
  • SKILL.md covers Non-negotiable interface, Initialize and locate the store, Auto-submit policy and Supplying JSON input, plus 5 more sections
  • Calls python3

What it does

This skill is the single storage layer used by every Job Apply workflow. It reads and writes local files through the bundled helper script job-apply-store.py, and it neither browses job sites nor submits applications. The agent first has to locate the plugin root, from the installed skill path in Codex or the CLAUDE_PLUGIN_ROOT variable in Claude Code, confirm the helper is there, and never search unrelated user directories for it.

A special routing rule covers approved local QA replays. Given a loopback replay URL, the agent resolves its route token with qa-replay.py without opening or printing it, then passes the returned store root with --root on every storage command, so a replay never touches the default ~/.job-apply/ store. Lifecycle commands record that a run started and that it reached final review, keeping only run identifiers, statuses and timestamps. The detailed file layout lives in a storage-contract reference.

When your agent uses it

  • Initializing or migrating the local Job Apply profile
  • Saving a reusable answer so later applications can reuse it
  • Reading application history before filling in another form
  • Resuming an interrupted application session

Example prompts

  • “Initialize the Job Apply profile and show me what is stored.”
  • “Save my answer about work authorization so future applications can reuse it.”
  • “Check the application history before we start another Greenhouse form.”

Requirements

  • The Job Apply plugin with scripts/job-apply-store.py
  • Python 3 to run the helper
  • Pre-approved tools (allowed-tools): Read, Write, Bash

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. In Codex, use the installed skill path shown in the skill catalog and walk up from skills/answer-memory/SKILL.md to the plugin root. If…
  2. In Claude Code, use CLAUDE_PLUGIN_ROOT after confirming it contains the helper.
  3. Never assume the current working directory is the plugin root, and never search unrelated user directories for it.

What it can do on your machine

Read from SKILL.md and the folder at commit 370204c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Job Apply Answer Memory loads about 2.9k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 1,225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from neonwatty/job-apply-plugin at commit 370204c, republished under its MIT licence (© neonwatty). 1,225 words, ~2,917 tokens.

Download SKILL.mdSave it as .claude/skills/answer-memory/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
answer-memory
description
Manage Job Apply's local profile, reusable answers, application history, and resumable sessions. Use whenever a Job Apply workflow needs to initialize, migrate, read, or update persistent applicant data.
allowed-tools
Read, Write, Bash

Answer Memory

Use this skill as the storage contract for every Job Apply workflow. It manages local files through the bundled helper; it does not browse job sites or submit applications.

Non-negotiable interface

Resolve <plugin-root> once before the first helper call:

  1. In Codex, use the installed skill path shown in the skill catalog and walk up from skills/answer-memory/SKILL.md to the plugin root. If Codex exposes PLUGIN_ROOT, it may be used after confirming it contains scripts/job-apply-store.py.
  2. In Claude Code, use CLAUDE_PLUGIN_ROOT after confirming it contains the helper.
  3. Never assume the current working directory is the plugin root, and never search unrelated user directories for it.

Run the helper from that resolved root:

bash
python3 "<plugin-root>/scripts/job-apply-store.py" <command>
Approved local QA routing

An approved replay URL has the exact loopback form http://127.0.0.1:<port>/#qa-route=<run-id>.<64-lowercase-hex-token>. Before any storage command for that workflow, resolve the complete fragment value without navigating it or printing it:

bash
python3 "<plugin-root>/scripts/qa-replay.py" resolve --route-token "<qa-route-token>"

The resolver returns one JSON field, storeRoot. For the entire replay, add --root "<resolved-storeRoot>" immediately after job-apply-store.py on every command, including init, profile-get, answer, history, and session commands. Never omit --root, use JOB_APPLY_STORE_DIR, inspect the default store, or fall back to ~/.job-apply/ during an approved local replay. If resolution fails, stop the replay without making any storage call. Treat the route token and resolved path as private run metadata and do not repeat them in prose or logs.

For replay lifecycle evidence, use qa-replay.py started --run-id "<run-id>" before form work and qa-replay.py reviewed --run-id "<run-id>" only at visible final review. These idempotent commands use the same isolated store helper and persist only the run identifier, platform label, statuses, timestamps, and empty answer-key/pending-field lists. Never manufacture replay history or session files. reviewed requires the correlated server review event, an ordered start, a matching nonterminal run, and zero final-action activations.

After evaluation, or when abandoning a prepared replay, retire its synthetic data with python3 "<plugin-root>/scripts/qa-replay.py" cleanup --run-id "<run-id>". Cleanup authenticates shutdown of a prepared fixture server and never signals an unknown process. For race safety it never unlinks run artifacts: it turns them into zero-length sanitized tombstones through verified open descriptors. Completed runs retain their redacted report and lifecycle tombstone; abandoned runs retain only a meaningful lifecycle tombstone, with all synthetic content and routing secrets sanitized. Running cleanup again is safe.

The command examples below show normal persistent usage without a QA route. When a QA route is active, the explicit --root rule above overrides every example.

Do not directly create, parse, patch, append to, or replace files under ~/.job-apply/. Do not recreate question normalization, answer keys, migration logic, permissions, or atomic writes in the agent. Use only helper commands described here and in the storage contract.

Successful data commands return JSON on stdout. If the helper returns nonzero, stop the storage operation, preserve the existing files, and explain the failure without printing stored values.

Initialize and locate the store

Start every workflow that needs persistent state with:

bash
python3 "<plugin-root>/scripts/job-apply-store.py" init

This creates the local store if needed and non-destructively migrates an existing ~/.claude-job-profile.json. The legacy file is never deleted or rewritten. To inspect resolved locations:

bash
python3 "<plugin-root>/scripts/job-apply-store.py" paths

The default layout is:

text
~/.job-apply/
  profile.json
  answers.json
  applications.jsonl
  sessions/
    <application-id>.json
  auto-submit/
    campaign.json
    applications/<campaign-ref>/<application-ref>.json
    receipts.jsonl

The auto-submit/ directory is separate version-1 policy state. Ordinary init does not create or activate it, so existing stores remain review_only compatible.

Auto-submit policy

Auto-submit policy is managed only through the inert local helper:

bash
python3 "<plugin-root>/scripts/job_apply_policy.py" status
python3 "<plugin-root>/scripts/job_apply_policy.py" activate --input <campaign.json>
python3 "<plugin-root>/scripts/job_apply_policy.py" authorize --input <authorization.json>
python3 "<plugin-root>/scripts/job_apply_policy.py" claim-final-action \
  --input <fresh-observed-identity.json> \
  --application-ref <opaque-application-ref> --lease-id <opaque-lease-ref> \
  --attempt <1-or-2> --action-capability <private-64-hex-capability>
python3 "<plugin-root>/scripts/job_apply_policy.py" record-outcome \
  --campaign-id <opaque-campaign-ref> \
  --application-ref <opaque-application-ref> \
  --lease-id <opaque-lease-ref> \
  --claim-id <opaque-claim-ref> \
  --outcome <confirmed_submitted|uncertain|blocked> \
  [--confirmation-event <trusted-confirmation-event.json> \
   --confirmation-capability <private-64-hex-capability>]
python3 "<plugin-root>/scripts/job_apply_policy.py" kill
python3 "<plugin-root>/scripts/job_apply_policy.py" revoke

Apply the same explicit --root routing rule used by the storage helper, especially in local QA. status and authorize fail closed to review_only. Activation requires a trusted local input with explicit risk acknowledgement, exact immutable application rules, opaque resume and sensitive-answer revisions, at most ten slots, and at most four hours. No webpage, redirect, remembered tab, or inferred consent is policy input.

The initial lease reserves one distinct slot atomically. Authorization is idempotent, but consumption is not: the synthetic activation boundary rechecks the active campaign, kill switch, campaign and lease expiry, exact freshly observed identity, sensitive allowlist, ordinal, retry state, and private capability under the policy lock, then gives exactly one caller an activation. Detached claims and claim proofs are not activation authority. The first uncertain outcome allows exactly one second lease on the same slot; a second uncertain persists uncertain_exhausted. confirmed_submitted requires a distinct trusted confirmation event that independently observed activation; a click or caller digest is not confirmation. kill persists an immediate campaign-wide stop. Receipts and policy records must remain value-free.

This helper is policy/storage only and never controls a browser. The only executable adapter currently approved is the private isolated-loopback synthetic verifier. Live use remains prohibited until the separately reviewed canary package and exact canary approval.

Show full SKILL.md (471 more words)Show less

Supplying JSON input

Commands that accept --input require a JSON object. Use a user-only temporary file, remove it after the helper returns, and never print its contents to logs. The helper also accepts --input - when a caller already has a safe private stdin channel.

Do not place passwords, credentials, authentication tokens, CAPTCHA answers, payment data, or browser session data in any input.

Profile and preferences

bash
python3 "<plugin-root>/scripts/job-apply-store.py" profile-get
python3 "<plugin-root>/scripts/job-apply-store.py" profile-replace --input <profile.json>
python3 "<plugin-root>/scripts/job-apply-store.py" preferences-get
python3 "<plugin-root>/scripts/job-apply-store.py" preferences-set --input <preferences.json>

preferences-set merges supplied keys and preserves all other profile and preference fields. Use --replace only after the user explicitly chooses to replace the full preferences object.

Reusable answers

Answer states have distinct behavior:

StateMeaningMay fill without asking?
confirmedThe user confirmed this valueYes, only when non-sensitive and scope still matches
inferredA candidate derived from contextNo; show it and ask
missingNo supported answer is knownNo; ask
sensitiveSalary, authorization, visa, demographic, disability, or similarNever; ask before every use

Look up the exact question and relevant scope before filling:

bash
python3 "<plugin-root>/scripts/job-apply-store.py" answer-find \
  --question "Are you authorized to work in the United States?" \
  --scope '{"country":"US"}'

Store a reviewed non-sensitive answer with answer-put --input <answer.json>. The helper owns stable keys and aliases; omit key for a dynamic question unless a documented semantic key already exists.

Sensitive answers require two decisions

Ask separately:

  1. May I use this answer in the current form?
  2. Would you like me to remember this specific answer for later applications?

Permission to fill is not permission to remember. If the user approves current use but not storage, do not persist the value. You may record a sensitive placeholder with "value": null.

Persist a non-null sensitive value only after explicit field-specific remember consent in the current interaction:

bash
python3 "<plugin-root>/scripts/job-apply-store.py" answer-put \
  --input <sensitive-answer.json> \
  --remember-sensitive

Even a remembered sensitive answer must be shown and reconfirmed before each future form entry.

Application history

Append minimal lifecycle events using history-append --input <event.json>. History may contain application metadata and answerKeys; it must never duplicate answer values, profile data, credentials, or browser state.

Use reviewed when Job Apply reaches final review. Do not record completed unless the user later confirms that they personally submitted the application. A policy receipt is separate and never changes legacy history semantics.

bash
python3 "<plugin-root>/scripts/job-apply-store.py" history-list

Resumable sessions

Use session-save --id <application-id> --input <session.json> after meaningful non-final progress. Sessions may contain ATS/role/step metadata, answerKeys, and pending-field descriptions; they must not contain answer values.

bash
python3 "<plugin-root>/scripts/job-apply-store.py" session-list
python3 "<plugin-root>/scripts/job-apply-store.py" session-load --id <application-id>
python3 "<plugin-root>/scripts/job-apply-store.py" session-delete --id <application-id>

Delete a session after the user confirms submission or explicitly abandons it. History remains separate.

Safety rules

  1. Never bypass the helper for persistent data mutations.
  2. Never print profile or answer values merely to diagnose storage.
  3. Never infer remember consent from permission to fill a form.
  4. Never copy answer values into history or sessions.
  5. Never downgrade or overwrite corrupt or future-version files; report the helper error.
  6. Never store credentials, authentication state, CAPTCHA/MFA data, or payment information.
  7. Answer memory and inert Auto-submit policy never change the current rule that only the user may submit an application.

© neonwatty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/answer-memory of neonwatty/job-apply-plugin.

  • SKILL.md
  • references/storage-contract.md

Open the folder on GitHubat commit 370204c

Compare with similar skills

Job Apply Answer Memory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Job Apply Answer Memory compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Job Apply Answer Memory this skillneonwatty/job-apply-plugin119—~2.9kAutomated safety check: NotesMIT
Job Posting ScraperMadsLorentzen/ai-job-search45k—~5.7kAutomated safety check: PassMIT
Career Ops Notion Plugincareer-ops-hq/career-ops74k—~301Automated safety check: NotesMIT
Jobsearch Telegramproficientlyjobs/proficiently-claude-skills409—~3.2kAutomated safety check: NotesNone
Reactive Resume Builderreactive-resume/reactive-resume44k—~1.5kAutomated safety check: PassMIT
Career-Ops Job Search Centercareer-ops-hq/career-ops74k—~3.3kAutomated safety check: PassMIT

Similar skills

  • Job Posting Scraper

    MadsLorentzen/ai-job-search

    Finds new job postings that match your profile through installed portal-search CLIs, dedupes against past runs and your application tracker, and rates each one's fit.

    45k GitHub stars~5.7k tokensUpdated yesterday
    Business, Finance & HRAuto-check passed
  • Career Ops Notion Plugin

    career-ops-hq/career-ops

    Copies a career-ops application tracker into a Notion database and reads saved Notion records back into the pipeline as job leads.

    74k GitHub stars~301 tokensUpdated today
    Business, Finance & HRAuto-check: notes
  • Jobsearch Telegram

    proficientlyjobs/proficiently-claude-skills

    Poll Telegram for job search messages — apply to jobs, search for roles, check status, all via chat

    409 GitHub stars~3.2k tokensUpdated 6 mo ago
    Business, Finance & HRAuto-check: notes
  • Reactive Resume Builder

    reactive-resume/reactive-resume

    Builds resumes as valid JSON for the open-source Reactive Resume app by interviewing you, and can track job applications through its MCP tools.

    44k GitHub stars~1.5k tokensUpdated yesterday
    Business, Finance & HRAuto-check passed
  • Career-Ops Job Search Center

    career-ops-hq/career-ops

    Routes job-search requests to modes for evaluating offers, scanning portals, generating tailored CVs, tracking applications and drafting outreach, starting from a pasted job URL or description.

    74k GitHub stars~3.3k tokensUpdated today
    Business, Finance & HRAuto-check passed
  • freehire Tech Job Search

    MadsLorentzen/ai-job-search

    Searches live software, data and engineering job listings through the freehire.me public API, or fetches one posting, with filters for country, region and skills.

    45k GitHub stars~2.7k tokensUpdated yesterday
    Business, Finance & HRAuto-check passed

More from neonwatty/job-apply-plugin

  • Job Application Assistant

    neonwatty/job-apply-plugin

    Fills out job applications on LinkedIn Easy Apply, Greenhouse, Ashby, Lever, Rippling and Workday from your stored profile, using visible browser automation.

    119 GitHub stars~4.9k tokensUpdated today
    Auto-check: notes
  • Job Search

    neonwatty/job-apply-plugin

    Search LinkedIn, Hacker News, and Twitter/X for jobs with connections, hiring manager insights, and preference-based scoring.

    119 GitHub stars~3.5k tokensUpdated today
    Auto-check: notes
  • Job Search Preferences

    neonwatty/job-apply-plugin

    Saves your target titles, minimum salary, remote preference and exclusion filters once, so the other Job Apply skills reuse them for every search.

    119 GitHub stars~1.1k tokensUpdated today
    Auto-check: notes

Questions about Job Apply Answer Memory

What does Job Apply Answer Memory do?

Storage contract for the Job Apply plugin: manages the local applicant profile, reusable answers, application history and resumable sessions through a bundled helper script. This skill is the single storage layer used by every Job Apply workflow.py, and it neither browses job sites nor submits applications.

When should I use Job Apply Answer Memory?

Job Apply Answer Memory fits situations like: initializing or migrating the local Job Apply profile; saving a reusable answer so later applications can reuse it; reading application history before filling in another form; resuming an interrupted application session.

How do I install Job Apply Answer Memory in Claude Code?

Run `npx skills add neonwatty/job-apply-plugin --skill answer-memory -a claude-code`. Or copy the skill folder (skills/answer-memory in neonwatty/job-apply-plugin) into .claude/skills/answer-memory in your project. Claude Code loads it when a task matches its description.

How do I install Job Apply Answer Memory in Codex?

Run `npx skills add neonwatty/job-apply-plugin --skill answer-memory -a codex`. Or copy the skill folder (skills/answer-memory in neonwatty/job-apply-plugin) into .agents/skills/answer-memory in your project. Codex loads it when a task matches its description.

Can I use Job Apply Answer Memory in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add neonwatty/job-apply-plugin --skill answer-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/answer-memory, .gemini/skills/answer-memory, .github/skills/answer-memory and .opencode/skills/answer-memory in your project.

What does Job Apply Answer Memory need to run?

Going by SKILL.md and its folder, Job Apply Answer Memory needs the command-line tools its instructions call (python3). Our summary lists: The Job Apply plugin with scripts/job-apply-store.py; Python 3 to run the helper. Its frontmatter pre-approves these tools: Read, Write, Bash.

Does Job Apply Answer Memory access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Job Apply Answer Memory safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Job Apply Answer Memory use?

Job Apply Answer Memory is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Job Apply Answer Memory use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Job Apply Answer Memory?

Skills that share tags, products or a category with Job Apply Answer Memory: Job Posting Scraper (MadsLorentzen/ai-job-search, 45k stars), Career Ops Notion Plugin (career-ops-hq/career-ops, 74k stars), Jobsearch Telegram (proficientlyjobs/proficiently-claude-skills, 409 stars) and Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Job Apply Answer Memory?

neonwatty (a GitHub user) maintains it in neonwatty/job-apply-plugin, which has 119 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 6, 2026.

Source: neonwatty/job-apply-plugin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.