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/madslorentzen/ai-job-search/gmail-syncgit clone --depth 1 https://github.com/MadsLorentzen/ai-job-searchWhat 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 | $0.00000 | $0.03709 |
| Opus 5 | $0.00000 | $0.01854 |
| Sonnet 5 | $0.00000 | $0.00742 |
| Haiku 4.5 | $0.00000 | $0.00371 |
Grade A, and why
gmail-sync 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 2d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- gmail-sync — 100% identical, 0 lines differ
- gmail-sync — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/gmail-sync - Sync Application Status from Gmail
You are scanning the user's Gmail for status signals on tracked job applications (interview invites, assessment links, offers, rejections) and, once approved, writing the detected changes into job_search_tracker.csv and documents/applications/<company>_<role>/outcome.md - the same two places /outcome writes to, in the same schema.
Unlike /outcome (which asks the user what happened), /gmail-sync classifies real emails on its own - but it never writes on its own. Every classified change is presented as a batch before anything touches the tracker or outcome.md, and only proceeds once the user approves it (approving the whole batch at once is fine; writing first and flagging it after is not). Because a wrong write silently corrupts application history that /setup later calibrates from, every proposed change must cite its source email and every uncertain case must be surfaced instead of guessed. Never treat this command's job as "notice something in an inbox" - it is "propose a correct, sourced line for a permanent record, and write it only once the user says yes."
Follow these steps in order.
Step 0: Prerequisites
Confirm the Gmail MCP tools (mcp__claude_ai_Gmail__*) are available. If not, tell the user to connect the Gmail integration (claude.ai Settings → Connectors → Gmail) and stop - do not attempt this via Bash, IMAP, or any other channel.
Step 1: Parse Input
$ARGUMENTS may contain:
- Nothing → default lookback (see Step 3)
- A company name, e.g.
/gmail-sync acme→ scope the search to that one tracked application since <YYYY-MM-DD>→ override the lookback start date for this run only (does not change the persisted state file)
Step 2: Load State
- Read
job_search_tracker.csv. If it does not exist, tell the user there is nothing to sync against yet (suggest/outcomeor/applyfirst) and stop. Do not create it here -/gmail-syncnever originates new applications, only updates existing ones. - Read
gmail_sync/state.json(create if missing:{"last_sync": null, "processed_message_ids": []}). - Build the set of open applications: tracker rows whose
statusis not Final (per the Tracker status vocabulary in/outcome). For each, derive its archive folderdocuments/applications/<company>_<role>/by the Subfolder naming rule indocuments/README.mdand check whetheroutcome.mdexists there. Reuse this exact derived path for any write in Step 7a.
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.
- 2d ago First seen · 193 lines · 0 tokens per session scan A 613f9817df69
gmail-sync is a command published in the GitHub repository MadsLorentzen/ai-job-search (39,400 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,709 tokens. 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 commands, from other repositories
resume
Generate a tailored resume and cover letter from a job description, score both, create DOCX files, and update the tracker.
resume-team
Run the role-separated, fail-closed Resume Team workflow against a job description.
writing-coach
Human-voice writing coach — rewrite resumes and cover letters with brevity, burstiness, plain language, and authentic impact. Blocks AI-sounding prose.
cover-letter
Create a one-page cover letter for a job description and generate the final DOCX.
find-jobs
Search live job boards for roles that match the master resume, then rank them by fit.
job-fit
Run the deterministic, digest-bound candidate-fit gate before any resume tailoring.