Borrowing it
Nothing to install: this file belongs to suraj-davariya/ai-job-search. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/suraj-davariya/ai-job-search/main/.claude/commands/upskill.mdgit clone --depth 1 https://github.com/suraj-davariya/ai-job-searchWrote 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/suraj-davariya/ai-job-search/upskill)<a href="https://agentmods.dev/commands/suraj-davariya/ai-job-search/upskill"><img src="https://agentmods.dev/badge/commands/suraj-davariya/ai-job-search/upskill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/suraj-davariya/ai-job-search/upskill"><img src="https://agentmods.dev/badge/commands/suraj-davariya/ai-job-search/upskill.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00032 | $0.00608 |
| Opus 5 | $0.00016 | $0.00304 |
| Sonnet 5 | $0.00006 | $0.00122 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
upskill 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 11d 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
/upskill — Skill Gap Analysis
Spec: REQ-3001–3011, ARCH-0040 (Career Development), ARCH-0008 Backed by: the
career-developmentPlane-1 skill Used by: the dashboard Upskill surface (reads theupskill/report-*.mdfiles this produces)
Activate the career-development skill and run its full workflow:
- Pick the mode (REQ-3001):
/upskill(no argument) → aggregate mode — analyze every job injob_search_tracker.csv. If the tracker is empty, say so and suggest targeted mode instead of writing an empty report./upskill <url>(or pasted posting text) → targeted mode — analyze one posting. If the URL can't be fetched, ask for a paste (DEC-011); never abort.
- Load data (REQ-3002, REQ-3003) — candidate profile always; tracker + most recent previous report in aggregate mode; the fetched/pasted posting in targeted mode.
- Pass 1 — hard-skill diff (REQ-3004) — required/preferred skills vs. profile, fit-weighted in aggregate mode; generous matching removes skills already held.
- Pass 2 — synthesis (REQ-3005) — domain / soft / tooling / credential gaps.
- Gap heatmap (REQ-3006, REQ-3011) — Critical/High/Medium/Low table printed first; Low gaps listed but not planned.
- Learning plan (REQ-3007) — 2–3 real, web-searched resources per Critical/High gap (and Medium when <5 gaps total), with study direction and time estimate. Never fabricate resources (ARCH-0007).
- Study order (REQ-3008) — dependency-aware numbered sequence with total time.
- Save the report (REQ-3009, REQ-3010) — always write
upskill/report-YYYY-MM-DD.md(aggregate) orupskill/report-YYYY-MM-DD-<company>-<role>.md(targeted), including the since-last delta in aggregate mode.
Full behavior lives in .claude/skills/career-development/SKILL.md.
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.
- 11d ago First seen · 46 lines · 32 tokens per session scan A 9722521ad48e
upskill is a command published in the GitHub repository suraj-davariya/ai-job-search (22 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 608 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 2026-08-30.
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