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 AFK-surf/OpenBridge --skill docsgit clone --depth 1 https://github.com/AFK-surf/OpenBridgeWrote 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/afk-surf/openbridge/docs)<a href="https://agentmods.dev/skills/afk-surf/openbridge/docs"><img src="https://agentmods.dev/badge/skills/afk-surf/openbridge/docs/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/afk-surf/openbridge/docs"><img src="https://agentmods.dev/badge/skills/afk-surf/openbridge/docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low Excessive Agency · line 50 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00011 | $0.01091 |
| Opus 5.5 | $0.00004 | $0.00436 |
| Sonnet 5.5 | $0.00002 | $0.00218 |
| Haiku 4.5 | $0.00001 | $0.00109 |
Grade A, and why
docs 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOCX reading, creation, editing, and review guidance
Workflow Decision
| Task | Tool | Reference |
|---|---|---|
| Reading/analyzing content | soffice + pdftoppm | See "Reading DOCXs" below |
| Creating new documents | python-docx | See "Primary tooling" below |
| Editing with tracked changes | OOXML XML manipulation | ooxml-editing.md |
| Adding comments | OOXML XML manipulation | ooxml-editing.md |
Reading DOCXs
- Use
soffice -env:UserInstallation=file:///tmp/lo_profile_$$ --headless --convert-to pdf --outdir $OUTDIR $INPUT_DOCXto convert DOCXs to PDFs.- The
-env:UserInstallation=file:///tmp/lo_profile_$$flag is important. Otherwise, it will time out.
- The
- Then Convert the PDF to page images so you can visually inspect the result:
pdftoppm -png $OUTDIR/$BASENAME.pdf $OUTDIR/$BASENAME
- Then open the PNGs and read the images.
- Only do python printing as a last resort because you will miss important details with text extraction (e.g. figures, tables, diagrams).
Primary tooling for creating DOCXs
- Create and edit DOCX files with
python-docx. Use it to control structure, styles, tables, and lists. Install it withpip install python-docxif it's not already installed. - After every meaningful batch of edits—new sections, layout tweaks, styling changes—render the DOCX to PDF:
soffice -env:UserInstallation=file:///tmp/lo_profile_$$ --headless --convert-to pdf --outdir $OUTDIR $INPUT_DOCX
- Convert the PDF to page images so you can visually inspect the result:
pdftoppm -png $OUTDIR/$BASENAME.pdf $OUTDIR/$BASENAME
- Inspect every PNG before moving on. If you see any defect, fix the DOCX and repeat the render → inspect loop until all pages look perfect.
What ships with it
2 files 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.
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 · 67 lines · 11 tokens per session scan A 132e507f6c3c
docs is a skill published in the GitHub repository AFK-surf/OpenBridge (432 stars, last pushed 4mo ago), licensed MIT. It adds 11 tokens to every session and 1,091 once invoked, about $0.0000 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 2026-08-30.
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