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.
Storage contract for the Job Apply plugin: manages the local applicant profile, reusable answers, application history and resumable sessions through a bundled helper script.
$ npx skills add neonwatty/job-apply-plugin --skill answer-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install neonwatty/job-apply-plugin answer-memory --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "answer-memory" agent skill from https://github.com/neonwatty/job-apply-plugin/tree/main/skills/answer-memory into .claude/skills/answer-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "answer-memory", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/neonwatty/job-apply-plugin/tree/main/skills/answer-memoryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add neonwatty/job-apply-plugin --skill answer-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install neonwatty/job-apply-plugin answer-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neonwatty/job-apply-plugin.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/answer-memory .agents/skills/answer-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "answer-memory" agent skill from https://github.com/neonwatty/job-apply-plugin/tree/main/skills/answer-memory into .agents/skills/answer-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "answer-memory", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add neonwatty/job-apply-plugin --skill answer-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install neonwatty/job-apply-plugin answer-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neonwatty/job-apply-plugin.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/answer-memory .cursor/skills/answer-memory && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "answer-memory" agent skill from https://github.com/neonwatty/job-apply-plugin/tree/main/skills/answer-memory into .cursor/skills/answer-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "answer-memory", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/neonwatty/job-apply-plugin.git --path skills/answer-memory--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add neonwatty/job-apply-plugin --skill answer-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install neonwatty/job-apply-plugin answer-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neonwatty/job-apply-plugin.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/answer-memory .gemini/skills/answer-memory && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "answer-memory" agent skill from https://github.com/neonwatty/job-apply-plugin/tree/main/skills/answer-memory into .gemini/skills/answer-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "answer-memory", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install neonwatty/job-apply-plugin answer-memoryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add neonwatty/job-apply-plugin --skill answer-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/neonwatty/job-apply-plugin.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/answer-memory .github/skills/answer-memory && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "answer-memory" agent skill from https://github.com/neonwatty/job-apply-plugin/tree/main/skills/answer-memory into .github/skills/answer-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "answer-memory", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add neonwatty/job-apply-plugin --skill answer-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install neonwatty/job-apply-plugin answer-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neonwatty/job-apply-plugin.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/answer-memory .opencode/skills/answer-memory && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "answer-memory" agent skill from https://github.com/neonwatty/job-apply-plugin/tree/main/skills/answer-memory into .opencode/skills/answer-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "answer-memory", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
answer-memoryStorage 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. 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 370204c. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, BashAutomated 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.
The full file from neonwatty/job-apply-plugin at commit 370204c, republished under its MIT licence (© neonwatty). 1,225 words, ~2,917 tokens.
.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.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.
Resolve <plugin-root> once before the first helper call:
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.CLAUDE_PLUGIN_ROOT after confirming it contains the helper.Run the helper from that resolved root:
python3 "<plugin-root>/scripts/job-apply-store.py" <command>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:
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.
Start every workflow that needs persistent state with:
python3 "<plugin-root>/scripts/job-apply-store.py" initThis 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:
python3 "<plugin-root>/scripts/job-apply-store.py" pathsThe default layout is:
~/.job-apply/
profile.json
answers.json
applications.jsonl
sessions/
<application-id>.json
auto-submit/
campaign.json
applications/<campaign-ref>/<application-ref>.json
receipts.jsonlThe 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 is managed only through the inert local helper:
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" revokeApply 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.
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.
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.
Answer states have distinct behavior:
| State | Meaning | May fill without asking? |
|---|---|---|
confirmed | The user confirmed this value | Yes, only when non-sensitive and scope still matches |
inferred | A candidate derived from context | No; show it and ask |
missing | No supported answer is known | No; ask |
sensitive | Salary, authorization, visa, demographic, disability, or similar | Never; ask before every use |
Look up the exact question and relevant scope before filling:
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.
Ask separately:
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:
python3 "<plugin-root>/scripts/job-apply-store.py" answer-put \
--input <sensitive-answer.json> \
--remember-sensitiveEven a remembered sensitive answer must be shown and reconfirmed before each future form entry.
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.
python3 "<plugin-root>/scripts/job-apply-store.py" history-listUse 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.
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.
© neonwatty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/answer-memory of neonwatty/job-apply-plugin.
Open the folder on GitHubat commit 370204c
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Job Apply Answer Memory this skillneonwatty/job-apply-plugin | 119 | — | ~2.9k | Automated safety check: Notes | MIT | |
| Job Posting ScraperMadsLorentzen/ai-job-search | 45k | — | ~5.7k | Automated safety check: Pass | MIT | |
| Career Ops Notion Plugincareer-ops-hq/career-ops | 74k | — | ~301 | Automated safety check: Notes | MIT | |
| Jobsearch Telegramproficientlyjobs/proficiently-claude-skills | 409 | — | ~3.2k | Automated safety check: Notes | None | |
| Reactive Resume Builderreactive-resume/reactive-resume | 44k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Career-Ops Job Search Centercareer-ops-hq/career-ops | 74k | — | ~3.3k | Automated safety check: Pass | MIT |
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.
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.
proficientlyjobs/proficiently-claude-skills
Poll Telegram for job search messages — apply to jobs, search for roles, check status, all via chat
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.
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.
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.
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.
neonwatty/job-apply-plugin
Search LinkedIn, Hacker News, and Twitter/X for jobs with connections, hiring manager insights, and preference-based scoring.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.