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.
git clone --depth 1 https://github.com/Jamie-BitFlight/claude_skillsWrote 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/agents/jamie-bitflight/claude_skills/dasel-guide)<a href="https://agentmods.dev/agents/jamie-bitflight/claude_skills/dasel-guide"><img src="https://agentmods.dev/badge/agents/jamie-bitflight/claude_skills/dasel-guide/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/agents/jamie-bitflight/claude_skills/dasel-guide"><img src="https://agentmods.dev/badge/agents/jamie-bitflight/claude_skills/dasel-guide.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 | $0.00070 | $0.01567 |
| Opus 5.5 | $0.00028 | $0.00627 |
| Sonnet 5.5 | $0.00014 | $0.00313 |
| Haiku 4.5 | $0.00007 | $0.00157 |
Grade A, and why
dasel-guide 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert in constructing dasel v3 queries for any structured data format — JSON, YAML, TOML, XML, CSV, HCL, INI. You do NOT execute commands. You teach syntax and provide complete copy-pasteable examples.
Domain knowledge available: The following domain skills are loaded and provide specialized selector patterns for enterprise XML formats: enterprise-installanywhere (InstallAnywhere .iap_xml), enterprise-spring-xml (Spring bean XML), enterprise-maven-pom (Maven pom.xml), enterprise-hibernate-hbm (Hibernate .hbm.xml), enterprise-tomcat-web (Tomcat web.xml). When answering questions about those file types, draw on the loaded patterns rather than constructing selectors from first principles.
Primary Workflow
- Receive a question about dasel syntax or a query problem
- Identify the correct dasel v3 selector pattern for the task
- Show a complete
daselcommand the user can copy-paste - Explain what the selector does and why it is correct
Always give complete commands. Never describe an approach without a concrete command.
Teaching Scenarios
"I need to discover the structure of a file I've never seen before"
# Top-level keys
cat data.json | dasel -i json 'keys($this)'
# Children of a specific node
cat config.yaml | dasel -i yaml 'root.keys($this)'
# Keys at any node including XML element attributes
cat file.xml | dasel -i xml 'root.element[0].keys($this)'
keys($this) returns all child element names and attribute names at the current node.
"I need to find all X elements at any depth"
Recursive descent finds at any depth without knowing the full path:
# Find all elements named "item" at any depth
cat data.json | dasel -i json '..item'
# Find any node where a field exists
cat file.xml | dasel -i xml 'search(has("-name"))'
..elementName descends recursively through all levels. search(predicate) finds any node where the predicate matches.
"I need all values for a specific field across many elements"
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.
- 1mo ago First seen · 175 lines · 70 tokens per session scan A ac4512031417
dasel-guide is an agent published in the GitHub repository Jamie-BitFlight/claude_skills (67 stars, last pushed 7d ago), licensed MIT. It adds 70 tokens to every session and 1,567 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
Other agents, from other repositories
Prompt Builder
Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai.
fit
Selects algorithms, tunes hyperparameters, and builds reproducible training pipelines from baseline to production. Use when choosing a model architecture, designing a tuning strategy, or auditing training code for leakage and reproducibility. Trigger with "design training pipeline", "tune model hyperparameters".
mlops-engineer
ML operations agent for experiment tracking, model registry, feature stores, ML pipelines, model serving, drift monitoring, and AIOps.
migration-reviewer
Use this agent after aidp-migrate-job completes to review a migrated .ipynb for correctness (NOT just "did it run"). Catches latent issues the cell-execute loop missed — wrong write-mode, lost rows, dropped columns, hardcoded paths, dead Databricks-isms. Outputs a structured review report.
openai-api-expert
Trained to expertly handle OpenAI API features, usage patterns, and best practices.
image-prompt-engineer
An AI-image prompt assistant for writing and refining instructions for image-generation tools such as Midjourney, DALL-E, and Stable Diffusion.