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 skills add aleksbuss/orchestra --skill using-agent-skillsgit clone --depth 1 https://github.com/aleksbuss/orchestraWrote 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/aleksbuss/orchestra/using-agent-skills)<a href="https://agentmods.dev/skills/aleksbuss/orchestra/using-agent-skills"><img src="https://agentmods.dev/badge/skills/aleksbuss/orchestra/using-agent-skills/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/skills/aleksbuss/orchestra/using-agent-skills"><img src="https://agentmods.dev/badge/skills/aleksbuss/orchestra/using-agent-skills.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 | $0.00048 | $0.02183 |
| Opus 5 | $0.00024 | $0.01092 |
| Sonnet 5 | $0.00010 | $0.00437 |
| Haiku 4.5 | $0.00005 | $0.00218 |
Grade A, and why
using-agent-skills 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 8d 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.
This is a copy
100% identical to using-agent-skills — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using Agent Skills
Overview
Agent Skills is a collection of engineering workflow skills organized by development phase. Each skill encodes a specific process that senior engineers follow. This meta-skill helps you discover and apply the right skill for your current task.
Skill Discovery
When a task arrives, identify the development phase and apply the corresponding skill:
Task arrives
│
├── Don't know what you want yet? ──────→ interview-me
├── Have a rough concept, need variants? → idea-refine
├── New project/feature/change? ──→ spec-driven-development
├── Have a spec, need tasks? ──────→ planning-and-task-breakdown
├── Implementing code? ────────────→ incremental-implementation
│ ├── UI work? ─────────────────→ frontend-ui-engineering
│ ├── API work? ────────────────→ api-and-interface-design
│ ├── Need better context? ─────→ context-engineering
│ ├── Need doc-verified code? ───→ source-driven-development
│ └── Stakes high / unfamiliar code? ──→ doubt-driven-development
├── Writing/running tests? ────────→ test-driven-development
│ └── Browser-based? ───────────→ browser-testing-with-devtools
├── Something broke? ──────────────→ debugging-and-error-recovery
├── Reviewing code? ───────────────→ code-review-and-quality
│ ├── Too complex? ─────────────→ code-simplification
│ ├── Security concerns? ───────→ security-and-hardening
│ └── Performance concerns? ────→ performance-optimization
├── Committing/branching? ─────────→ git-workflow-and-versioning
├── CI/CD pipeline work? ──────────→ ci-cd-and-automation
├── Deprecating/migrating? ────────→ deprecation-and-migration
├── Writing docs/ADRs? ───────────→ documentation-and-adrs
├── Adding logs/metrics/alerts? ───→ observability-and-instrumentation
└── Deploying/launching? ─────────→ shipping-and-launch
Core Operating Behaviors
These behaviors apply at all times, across all skills. They are non-negotiable.
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.
- 8d ago First seen · 192 lines · 48 tokens per session scan A a5bf05293cfb
using-agent-skills is a skill published in the GitHub repository aleksbuss/orchestra (2 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 2,183 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to using-agent-skills, differing in 3 lines, and is treated as a copy.
Other skills, from other repositories
data-analysis
A careful workflow for working with table-like files such as CSV, Excel, TSV, JSON, and Parquet. It requires inspecting the data before writing small analysis steps, then checking each result.
deep-research
Use this skill for any task that requires in-depth research, investigation, or comprehensive report generation on a topic. This includes: producing industry analysis, market research, technology surveys, competitive intelligence, trend reports, or any deliverable that synthesizes information from multiple sources into…
ama-memory
Use AMA memory in OpenClaw to recall prior context, capture turns, inspect stored state, end sessions, or delete a user's memory when asked.
cg-work-memory
Use when a local agent needs to submit a concise public work-memory report for its own completed local task through cg report work-memory.
comm-agent-skill
Communication specialist for the OpenClaw multi-agent system. Use this skill when the task involves: drafting or sending emails, posting to Discord or other chat platforms, scheduling calendar events, sending notifications, or any outbound communication on behalf of the user. Always drafts before sending and requires…
data-agent-skill
Data processing and analysis specialist for the OpenClaw multi-agent system. Use this skill when the task involves: parsing CSV/JSON/Excel files, data cleaning and transformation, SQL queries, statistical analysis, generating charts or visualizations, aggregating data from multiple sources, or extracting insights from…