file-read-skill

file-read-skill is a skill for Claude Code from zeenie-ai/OpenCompany. It costs 15 tokens per session (455 once invoked), scanned A, original, MIT.

A file reader that returns the contents of a file a section of lines at a time.

In plain words
What is it for?
Use it to read source code, logs, configuration files, or other workspace files, including selected line ranges.
Why use it?
It helps inspect large files without loading the whole file at once.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to read source code, logs, configuration files, or other workspace files, including selected line ranges.

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Install with agentmods
npx agentmods add skills/zeenie-ai/opencompany/file-read-skill
Install

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.

Any agent
npx skills add zeenie-ai/OpenCompany --skill file-read-skill
Clone the repo
git clone --depth 1 https://github.com/zeenie-ai/OpenCompany

Made for: Claude Code.

Wrote 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.

agentmods badge for file-read-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/zeenie-ai/opencompany/file-read-skill/github.svg)](https://agentmods.dev/skills/zeenie-ai/opencompany/file-read-skill)
Your own site
<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/file-read-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/file-read-skill/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.

agentmods 80×15 button for file-read-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/file-read-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/file-read-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 455 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00015 $0.00455
Opus 5 $0.00008 $0.00228
Sonnet 5 $0.00003 $0.00091
Haiku 4.5 $0.00002 $0.00046

Measured 11d ago against content hash 96a218ee96cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

file-read-skill 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 11d 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.

server/skills/coding_agent/file-read-skill/SKILL.md · 61 lines

What it actually says

File Read Tool

Read raw file contents with line-based pagination. Uses the workspace-contained native filesystem backend.

Path sandbox: all paths resolve inside the per-workflow workspace root. Use workspace-relative paths (e.g. reports/data.csv); .. and ~ segments are rejected, and absolute paths are remapped into the workspace. Use fs_search with mode: "ls" to discover what exists.

file_read Tool

Schema Fields

Field Type Required Description
file_path string Yes Path to the file to read
offset int No Line number to start from, 0-indexed (default: 0)
limit int No Maximum lines to read (default: 2000, max: 10000)

Examples

Read a file:

{"file_path": "/path/to/file.py"}

Read with pagination:

{"file_path": "/path/to/large_file.py", "offset": 100, "limit": 50}

Response Format

{
  "content": "line one\nline two\n...",
  "line_count": 2,
  "file_path": "/path/to/file.py"
}

Guidelines

  1. Use offset/limit for large files instead of reading everything
  2. content is the selected text slice, without added line numbers; text line endings are normalized to LF
  3. line_count counts the lines in the returned slice, not the whole file
  4. file_path is the normalized virtual path inside the workflow workspace
  5. Non-UTF-8 files are returned as base64 text in content; the tool result does not include a separate encoding field, and line pagination is not applied to that base64 representation
Changes

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.

  1. 11d ago First seen · 61 lines · 15 tokens per session scan A 96a218ee96cf

Subscribe to this mod's changes

file-read-skill is a skill published in the GitHub repository zeenie-ai/OpenCompany (880 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 455 once invoked, about $0.0001 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 2026-08-30.