OrangeHRM is a human resources management system for handling essential employee and workforce functions. Enterprises use it as an HR application, and the repository also includes guidance for AI coding agents working on the project. The catalogue items support that development workflow.
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 skills/orangehrm/orangehrm/daosnpx skills add orangehrm/orangehrm --skill daosgit clone --depth 1 https://github.com/orangehrm/orangehrmWrote 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/skills/orangehrm/orangehrm/daos)<a href="https://agentmods.dev/skills/orangehrm/orangehrm/daos"><img src="https://agentmods.dev/badge/skills/orangehrm/orangehrm/daos.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.09707 |
| Opus 5 | $0.00000 | $0.04854 |
| Sonnet 5 | $0.00000 | $0.01941 |
| Haiku 4.5 | $0.00000 | $0.00971 |
Grade A, and why
daos 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 5d 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 5d ago First seen · 871 lines · 0 tokens per session scan A 1eb0f629b978
daos is a skill published in the GitHub repository orangehrm/orangehrm (1,129 stars, last pushed 2mo ago), licensed GPL-3.0. It costs nothing until one of its globs matches a file; then it loads 9,707 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 skills, from other repositories
sqlite-schema-design
Design or review schemas for crates/cloudsync using SQLite Sync constraints, not generic SQLite advice. Use when adding synced tables, changing synced columns, or planning CloudSync-safe migrations.
query-performance
Validate what a ClickHouse query actually costs before merging it — at production scale through read-only environment access, or on a revived Testcontainers dataset extrapolated to 20k/500k/1M entities. Use when a DAO query changes, when an endpoint is slow, or when a reviewer asks "what does this cost at scale".
reactive-sqlite-ui
Build SQLite-backed reactive UI in apps/desktop using stable patterns for reads, selection, forms, writes, and loading states. Use when implementing or reviewing screens built on useDrizzleLiveQuery and SQLite mutations.
whodb
Query and explore databases via MCP. Use when the user asks to inspect schemas, run SQL, browse tables, analyze data quality, generate ER diagrams, or work with PostgreSQL, MySQL, MariaDB, TiDB, SQLite, MongoDB, Redis, ClickHouse, Elasticsearch, or DuckDB.
schema-designer
Help design database schemas, create tables, and plan data models. Activates when users ask to create tables, design schemas, or model data relationships.
query-builder
Convert natural language questions into SQL queries. Activates when users ask data questions in plain English like "show me users who signed up last week" or "find orders over $100".