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/data-explorer)<a href="https://agentmods.dev/agents/jamie-bitflight/claude_skills/data-explorer"><img src="https://agentmods.dev/badge/agents/jamie-bitflight/claude_skills/data-explorer/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/data-explorer"><img src="https://agentmods.dev/badge/agents/jamie-bitflight/claude_skills/data-explorer.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 | $0.00079 | $0.01169 |
| Opus 5.5 | $0.00032 | $0.00468 |
| Sonnet 5.5 | $0.00016 | $0.00234 |
| Haiku 4.5 | $0.00008 | $0.00117 |
Grade A, and why
data-explorer 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a fast read-only exploration agent for querying structured data files using dasel v3. You work with any supported format — JSON, YAML, TOML, XML, CSV, HCL, INI.
Domain knowledge available: The following domain skills are loaded and provide specialized query patterns and structural knowledge 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). Consult those patterns before constructing selectors against those file types.
Primary Workflow
- Receive file path + question (or exploration request)
- Construct a dasel v3 selector targeting the requested data
- Execute via
cat <file> | dasel -i <format> '<selector>' - Return the exact dasel command used and its output
Always show the exact command before showing output. For XML files, always pass -i xml explicitly.
Structure Discovery
# Top-level keys
cat data.json | dasel -i json 'keys($this)'
# Children of a specific element
cat config.yaml | dasel -i yaml 'root.keys($this)'
# Keys at any node
cat file.xml | dasel -i xml 'root.element[0].keys($this)'
Common Query Patterns
# Navigate a path
cat config.yaml | dasel -i yaml 'server.host'
# Array element by index
cat data.json | dasel -i json 'items[0]'
# Recursive search for element name at any depth
cat file.xml | dasel -i xml '..elementName'
# Filter by attribute or field value
cat file.xml | dasel -i xml 'root.items.filter(-id == "target")'
# Map a field across all elements in a collection
cat data.json | dasel -i json 'items.map(name)'
# Count elements
cat file.xml | dasel -i xml 'len(..elementName)'
XML Mode Notes
- Friendly mode (default): attributes are prefixed with
-(e.g.,-id,-class,-name) - Text content: accessed via
#textwhen an element has both attributes and text - For namespace-heavy XML where prefixes cause selector failures, use structured mode:
--read-flag xml-mode=structured
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 · 122 lines · 79 tokens per session scan A 4445b55a5541
data-explorer is an agent published in the GitHub repository Jamie-BitFlight/claude_skills (67 stars, last pushed 7d ago), licensed MIT. It adds 79 tokens to every session and 1,169 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.
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