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/nullproof-studio/en-quire/en-quirenpx skills add nullproof-studio/en-quire --skill en-quiregit clone --depth 1 https://github.com/nullproof-studio/en-quireWrote 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/nullproof-studio/en-quire/en-quire)<a href="https://agentmods.dev/skills/nullproof-studio/en-quire/en-quire"><img src="https://agentmods.dev/badge/skills/nullproof-studio/en-quire/en-quire.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 | $0.00115 | $0.05469 |
| Opus 5 | $0.00057 | $0.02735 |
| Sonnet 5 | $0.00023 | $0.01094 |
| Haiku 4.5 | $0.00012 | $0.00547 |
Grade A, and why
en-quire 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 3d 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 — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: en-quire — Markdown Document Management
Purpose: Instructions for agents using en-quire MCP tools to read, search, edit, and manage markdown and YAML documents.
Orientation: Multi-Root and doc_status
en-quire manages documents across multiple roots — separate directories for different document types (e.g. codex, agents, skills, testing). Each root can have its own git configuration and governance model.
Start every session with:
doc_status— see all configured roots, their git status, index health, and pending proposalsdoc_list— see all files, or scope to a specific root withdoc_list(scope: "skills")
File paths include the root prefix: codex/en-quire.mdx, agents/researcher.md, skills/en-quire/SKILL.md. Use the prefix in all tool calls.
Search works across all roots by default. Scope to a single root with doc_search(query: "...", scope: "agents").
When to Use en-quire
Use en-quire tools (doc_*) instead of filesystem tools (read_file, write_file, edit_file) for any operation on:
- Markdown files (.md, .mdx) — SOPs, skill files, codex articles, session memory, agent profiles
- YAML files (.yaml, .yml) — Docker Compose, config files, CI/CD pipelines, Kubernetes manifests
en-quire provides section-level addressing, structural search, and diff responses that eliminate the need to read or rewrite whole files. For YAML, "sections" are key paths (e.g. services.api.environment).
Use filesystem tools only when:
- You are working with file types en-quire doesn't support (JSON, JS, etc.)
- You need to move or copy files between directories or roots
Core Workflow: Outline → Read → Edit
Every interaction with a document follows this sequence:
doc_outline— Get the structure first. This is non-negotiable. Never read a whole file to orient yourself. For markdown, this returns the heading tree. For YAML, it returns the key hierarchy with value types.doc_read_section— Read only the section you need. Use the heading text (markdown) or dot-path (YAML, e.g.services.api.environment). Take the address straight from thedoc_outlineresult — a heading address must match the heading text exactly, including any trailing qualifier or parenthetical, so copy it rather than retyping from memory or from how the body prose refers to a section (e.g. "§13.1 Storage Mapping").- Edit with the right tool:
doc_set_value— change a single value (YAML scalar or markdown section body). The simplest edit tool — one path, one value.doc_replace_section— rewrite a block's content (mapping values in YAML, section body in markdown)doc_append_section— add content to the end of a section (table rows, list items, new YAML keys)doc_find_replace— change a term or phrase across the whole documentdoc_insert_section— add a new section before or after an existing onedoc_delete_section— remove a section entirelydoc_move_section— atomically delete a section from its current location and insert it at a new position (cut-and-paste). Heading levels adjust automatically including all children. Use this instead of separate delete + insert calls.doc_generate_toc— generate or update a table of contents from the heading structure
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.
- 3d ago First seen · 376 lines · 115 tokens per session scan A 5782d552fd3c
en-quire is a skill published in the GitHub repository nullproof-studio/en-quire (0 stars, last pushed 12d ago), licensed MIT. It adds 115 tokens to every session and 5,469 once invoked, about $0.0006 per session on Opus 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 2026-08-31.
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