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 mvschwarz/openrig --skill loading-addressable-markdowngit clone --depth 1 https://github.com/mvschwarz/openrigWrote 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/mvschwarz/openrig/loading-addressable-markdown)<a href="https://agentmods.dev/skills/mvschwarz/openrig/loading-addressable-markdown"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/loading-addressable-markdown/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/mvschwarz/openrig/loading-addressable-markdown"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/loading-addressable-markdown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00316 |
| Opus 5 | $0.00023 | $0.00158 |
| Sonnet 5 | $0.00009 | $0.00063 |
| Haiku 4.5 | $0.00005 | $0.00032 |
Grade A, and why
loading-addressable-markdown 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.
What it actually says
Loading Addressable Markdown
Overview
Load exactly one addressed Markdown section from any filesystem tree. The resolver mirrors OpenRig's shipped H2/H3 grammar without requiring the file to live in the context library.
Use
Run the bundled script. Relative file references resolve from --root; without it they resolve from the current directory.
node ~/.agents/skills/loading-addressable-markdown/scripts/resolve-markdown.mjs \
--root /path/to/mission \
'slices/09-source-cleanup/SPEC.md#proposal'
The accepted forms are:
file.md— whole filefile.md#h2-slug— full H2 span, including child sectionsfile.md#h2-slug/h3-slug— full H3 span
Slugs are lowercase; Markdown emphasis/code markers are removed; each other non-alphanumeric run becomes -. Duplicate or missing paths fail loudly. Headings inside fenced code blocks are ignored.
Common mistakes
- Do not use
rig context getfor an arbitrary filesystem path; that command resolves context-library refs. - Do not hand-slice headings with
sedor line numbers; the bundled resolver owns span and fence behavior. - Quote addresses in shell commands.
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.
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.
- 5d ago First seen · 35 lines · 45 tokens per session scan A 104dc6a02ae6
loading-addressable-markdown is a skill published in the GitHub repository mvschwarz/openrig (66 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 316 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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docx
Create/edit/inspect Word documents using available managed or host capabilities.
pptx
Create/edit/inspect/verify slide decks and PPTX presentations.
xlsx
Create/edit/analyze/verify spreadsheet workbooks including XLSX/CSV/TSV.
spreadsheets
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