No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by karanb192 · Claude Skill · ★ 846
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is itr-wala safe to install? View the security audit →
itr-wala File your Indian income tax return from your terminal. No CA, no ₹3,000 fee, no 3 hours on the portal. Every rupee of tax math computed by tested code, not by an LLM. ⏳ AY 2026-27 deadlines: ITR-1/2 → 31 July 2026 · ITR-3/4 (non-audit) → 31 August 2026. Run from a checkout, never touches the network - it copies the files you just read. See Install from a branch you reviewed for why that matters when the tool handles your salary and bank data. Then open your agent and say "file my ITR". Hand it your Form 16 and AIS. It does the rest - except the three things only you should ever do: pay, submit, e-verify. Why this exists Every AI-tax demo you saw this season had the same
| Stars | 846 |
| Forks | 124 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 68.2536588612219/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-02 |
| Created | 2026-07-26 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~17k |
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itr-wala is File your Indian income tax return (ITR) from your terminal. Deterministic tax engine, both regimes, AY 2026-27. Claude Code / Codex / Gemini skill.. It is categorized as a Claude Skill with 846 GitHub stars.
itr-wala is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude.
You can find installation instructions and usage details in the itr-wala GitHub repository at github.com/karanb192/itr-wala. The project has 846 stars and 124 forks, indicating an active community.
The top alternatives to itr-wala on Agent Skills Hub include pro-workflow, Claude-Code-Everything-You-Need-to-Know, 10x. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: