write-file-fallback-report

write-file-fallback-report is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 26 tokens per session (950 once invoked), scanned A, original, MIT.

A fallback workflow for generating professional documents directly when normal data-retrieval tools fail.

In plain words
What is it for?
Use it for simple text or Markdown reports based on the available information and built-in domain knowledge.
Why use it?
It helps complete a report or document without waiting for broken file, search, or code tools to recover.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for simple text or Markdown reports based on the available information and built-in domain knowledge.

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Install with agentmods
npx agentmods add skills/hkuds/openspace/write-file-fallback-report
About the project

OpenSpace is a skill-management layer for AI agents that stores, retrieves, evaluates, shares, and improves reusable workflows. It is intended for people using multiple coding agents who want skills to be reused and refined based on task outcomes. The catalogue provides 200 skills for use with OpenSpace and the agents it supports.

HKUDS/OpenSpace · 7,544 stars · on GitHub

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 HKUDS/OpenSpace --skill write-file-fallback-report
Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace

Made for: Claude Code, Codex.

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 write-file-fallback-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/write-file-fallback-report.svg)](https://agentmods.dev/skills/hkuds/openspace/write-file-fallback-report)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/write-file-fallback-report"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/write-file-fallback-report.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 950 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 $0.00026 $0.00950
Opus 5 $0.00013 $0.00475
Sonnet 5 $0.00005 $0.00190
Haiku 4.5 $0.00003 $0.00095

Measured 5d ago against content hash e24528efde13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

write-file-fallback-report 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 5d 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.

benchmarks/gdpval/skills/write-file-fallback-report/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Write-File Fallback Report Generation

When to Use This Skill

Use this workflow when attempting to generate a document or report, but multiple primary data source tools fail simultaneously:

  • read_file returns binary/image data instead of text (common with PDFs)
  • search_web returns errors or no results
  • execute_code_sandbox fails unexpectedly
  • Other data retrieval tools are unavailable

Key insight: Rather than getting stuck on failed data retrieval, pivot immediately to generating the document directly with write_file using professionally structured content and embedded domain knowledge.

Step-by-Step Instructions

Step 1: Detect Tool Failure Pattern

Recognize when you're in a fallback scenario:

TOOL_FAILURE_INDICATORS = [
    "read_file returns binary or image data",
    "search_web returns unknown error or empty results",
    "execute_code_sandbox fails repeatedly",
    "Multiple consecutive tool failures on data retrieval"
]

Decision point: If 2+ indicators are present, proceed to Step 2.

Step 2: Pivot to Write-File-First Approach

Stop attempting to fix the failing tools. Instead:

  1. Acknowledge the limitation briefly in your output
  2. Commit to generating the document with available knowledge
  3. Use write_file as your primary tool (not a last resort)

Step 3: Structure the Document Professionally

Create a well-organized markdown document with:

# [Document Title]

## Executive Summary
[Brief overview of key findings/content]

## Background
[Context and scope - use embedded knowledge]

## Main Content
[Organized sections with headers, lists, tables as appropriate]

## Limitations & Notes
[Transparent about data source limitations if relevant]

## Recommendations/Next Steps
[Actionable guidance based on available information]

Step 4: Leverage Embedded Domain Knowledge

When external data is unavailable:

  • Use general domain knowledge appropriately
  • Clearly distinguish between verified facts and general guidance
  • Include actionable frameworks rather than specific unverified data
  • Add placeholder notes where specific data would enhance the document

Read the full file on GitHub · 149 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 149 lines · 26 tokens per session scan A e24528efde13

Subscribe to this mod's changes

write-file-fallback-report is a skill published in the GitHub repository HKUDS/OpenSpace (7,544 stars, last pushed 26d ago), licensed MIT. It adds 26 tokens to every session and 950 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 2026-09-03.

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