Borrowing it
Nothing to install: this file belongs to hraness/wrench. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hraness/wrench/main/.agents/skills/save-pdf-kb/SKILL.mdgit clone --depth 1 https://github.com/hraness/wrenchWrote 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/hraness/wrench/save-pdf-kb)<a href="https://agentmods.dev/skills/hraness/wrench/save-pdf-kb"><img src="https://agentmods.dev/badge/skills/hraness/wrench/save-pdf-kb/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/hraness/wrench/save-pdf-kb"><img src="https://agentmods.dev/badge/skills/hraness/wrench/save-pdf-kb.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 | $0.00089 | $0.01200 |
| Opus 5.5 | $0.00036 | $0.00480 |
| Sonnet 5.5 | $0.00018 | $0.00240 |
| Haiku 4.5 | $0.00009 | $0.00120 |
Grade A, and why
save-pdf-kb scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to save-pdf-kb — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Save a PDF to the knowledge base
Use the installed kb CLI. Resolve <vault> to the directory containing its
authored or managed index.md front door, then set the shell-local KB_ROOT
to that path (KB_ROOT=kb from a typical repository root).
Check the local conversion routes, then capture the PDF:
kb doctor
kb pdf "/absolute/path/to/document.pdf" --output "$KB_ROOT/articles"
kb pdf "https://example.com/document.pdf" --output "$KB_ROOT/articles"
Pass a stable slug or replace a prior tool-owned bundle only when needed:
kb pdf "/absolute/path/to/document.pdf" --slug ben-leaves-zo --output "$KB_ROOT/articles"
kb pdf "/absolute/path/to/document.pdf" --output "$KB_ROOT/articles" --force
The command installs one atomic bundle:
<slug>/
<slug>.md
capture.json
source.pdf
annotations.json # present after a reviewed annotation pass
assets/
source.pdf is the byte-identical input. The manifest records its original
name, hash, byte count, page count, bounded document metadata, processed-page
and block counts, image geometry, OCR status, and warnings without retaining
the original absolute path. A reviewed second pass also retains the exact
normalized annotation array as annotations.json; the manifest records its
path, count, byte count, and SHA-256 so the image interpretation remains
reproducible.
Preserve text and visual evidence
Treat native PDF text and image text as two independent extraction surfaces. Native text supplies layout, heading, link, and reading-order evidence. Local OCR supplies candidate text for scans and screenshots. Keep every extracted image as an asset even when its text is converted to Markdown.
For recognizable conversations, review the source image and turn OCR into readable message blocks with available platform, author, channel, and timestamp metadata. Preserve uncertain words explicitly instead of silently repairing them. Read references/review.md before refining screenshot-heavy or mixed-media PDFs.
What ships with it
3 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 · 139 lines · 89 tokens per session scan A dce67047e189
save-pdf-kb is a skill published in the GitHub repository hraness/wrench (4 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 1,200 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to save-pdf-kb, differing in 0 lines, and is treated as a copy.
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