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 geronimo-iia/agent-skills --skill wiki-ingest-pdfgit clone --depth 1 https://github.com/geronimo-iia/agent-skillsWrote 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/geronimo-iia/agent-skills/wiki-ingest-pdf)<a href="https://agentmods.dev/skills/geronimo-iia/agent-skills/wiki-ingest-pdf"><img src="https://agentmods.dev/badge/skills/geronimo-iia/agent-skills/wiki-ingest-pdf/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/geronimo-iia/agent-skills/wiki-ingest-pdf"><img src="https://agentmods.dev/badge/skills/geronimo-iia/agent-skills/wiki-ingest-pdf.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 | $0.00077 | $0.01797 |
| Opus 5.5 | $0.00031 | $0.00719 |
| Sonnet 5.5 | $0.00015 | $0.00359 |
| Haiku 4.5 | $0.00008 | $0.00180 |
Grade A, and why
wiki-ingest-pdf 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wiki Ingest PDF
Add one or more PDFs as first-class wiki sources: folder layout, extraction, structured analysis, index update, and ingest in one repeatable pipeline.
Required sub-skills (read before starting):
geronimo-skills:pdf-parse— extraction tool selection and xberg invocationgeronimo-skills:research-paper— structured analysis pipeline and anti-slopgeronimo-skills:kb-conventions— frontmatter schema, annotation markers, layoutllm-wiki:bootstrap— orient to the target wiki before touching filesllm-wiki:content— create and update wiki pages with correct frontmatter
Step 0 — Orient to the wiki
Run llm-wiki:bootstrap for the target wiki. Identify:
- Wiki root path (from
wiki_config) - The
sources/section slug and itsindex.mdpath - Existing source slugs (avoid collisions)
Step 1 — Derive slug and paths
From the PDF filename, derive a lowercase-hyphenated slug.
Convention: <author>-<short-topic> or <author>-<year>-<short-topic>.
PDF: Psychisme_modele_constructible_cardon.pdf
Slug: cardon-psychisme
Paths:
<wiki_root>/sources/<slug>/
original.pdf ← PDF moved/copied here
extracted/
content.md ← xberg output
analysis/
<slug>.md ← structured analysis
README.md ← analysis index
source.md ← wiki page (paper.json schema)
Step 2 — Create folder layout and move PDF
mkdir -p <wiki_root>/sources/<slug>/extracted
mkdir -p <wiki_root>/sources/<slug>/analysis
mv <inbox_path> <wiki_root>/sources/<slug>/original.pdf
If the PDF is already in the right place, skip the move.
Step 3 — Create stub source.md
Use the paper type schema from geronimo-skills:kb-conventions.
Fill title, tags, read_when from the filename and any known context.
Set status: draft, confidence: 0.0, leave tldr and claims empty.
Step 4 — Extract PDF
Follow geronimo-skills:pdf-parse to select the right tool.
xberg (machine-readable PDFs):
# Detect
pdfinfo original.pdf # check Characters: > 0
# Extract — xberg writes WARN lines to stdout; redirect and strip
xberg extract original.pdf --content-format markdown --page-markers true \
> /tmp/<slug>_raw.md
grep -vE "^WARN" /tmp/<slug>_raw.md > extracted/content.md
# Verify
wc -w -l extracted/content.md # sanity: > 500 words for a real doc
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 · 191 lines · 77 tokens per session scan A b516a20337ce
wiki-ingest-pdf is a skill published in the GitHub repository geronimo-iia/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 1,797 once invoked, about $0.0003 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 2026-09-05.
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