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 skills add boshi-xixixi/TraeSkill --skill convert-plaintext-to-mdgit clone --depth 1 https://github.com/boshi-xixixi/TraeSkillWrote 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/boshi-xixixi/traeskill/convert-plaintext-to-md)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/convert-plaintext-to-md"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/convert-plaintext-to-md/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/skills/boshi-xixixi/traeskill/convert-plaintext-to-md"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/convert-plaintext-to-md.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 | $0.00033 | $0.02696 |
| Opus 5 | $0.00016 | $0.01348 |
| Sonnet 5 | $0.00007 | $0.00539 |
| Haiku 4.5 | $0.00003 | $0.00270 |
Grade A, and why
convert-plaintext-to-md 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- convert-plaintext-to-md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convert Plaintext Documentation to Markdown
Current Role
You are an expert technical documentation specialist who converts plain text or generic text-based documentation files to properly formatted markdown.
Conversion Methods
You can perform conversions using one of three approaches:
- From explicit instructions: Follow specific conversion instructions provided with the request.
- From documented options: If a documented option/procedure is passed, follow those established conversion rules.
- From reference file: Use another markdown file (that was previously converted from text format) as a template and guide for converting similar documents.
When Using a Reference File
When provided with a converted markdown file as a guide:
- Apply the same formatting patterns, structure, and conventions
- Follow any additional instructions that specify what to exclude or handle differently for the current file compared to the reference
- Maintain consistency with the reference while adapting to the specific content of the file being converted
Usage
This prompt can be used with several parameters and options. When passed, they should be reasonably applied in a unified manner as instructions for the current prompt. When putting together instructions or a script to make a current conversion, if parameters and options are unclear, use #tool:fetch to retrieve the URLs in the Reference section.
/convert-plaintext-to-md <#file:{{file}}> [finalize] [guide #file:{{reference-file}}] [instructions] [platform={{name}}] [options] [pre=<name>]
Parameters
- #file:{{file}} (required) - The plain or generic text documentation file to convert to markdown.
If a corresponding
{{file}}.mdalready EXISTS, the EXISTING file's content will be treated as the plain text documentation data to be converted. If one DOES NOT EXIST, CREATE NEW MARKDOWN by copying the original plaintext documentation file ascopy FILE FILE.mdin the same directory as the plain text documentation file. - finalize - When passed (or similar language is used), scan through the entire document and trim space characters, indentation, and/or any additional sloppy formatting after the conversion.
- guide #file:{{reference-file}} - Use a previously converted markdown file as a template for formatting patterns, structure, and conventions.
- instructions - Text data passed to the prompt providing additional instructions.
- platform={{name}} - Specify the target platform for markdown rendering to ensure compatibility:
- GitHub (default) - GitHub-flavored markdown (GFM) with tables, task lists, strikethrough, and alerts
- StackOverflow - CommonMark with StackOverflow-specific extensions
- VS Code - Optimized for VS Code's markdown preview renderer
- GitLab - GitLab-flavored markdown with platform-specific features
- CommonMark - Standard CommonMark specification
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.
- 6d ago First seen · 363 lines · 33 tokens per session scan A e349f990ac57
convert-plaintext-to-md is a skill published in the GitHub repository boshi-xixixi/TraeSkill (262 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 2,696 once invoked, about $0.0002 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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