Apache Tika is a toolkit that reads many kinds of files and extracts their text and descriptive metadata, including from formats such as PDF, PowerPoint, and Excel. Applications and agent pipelines use it to turn documents into content they can process, search, or pass to language models. The catalogue skills provide reusable ways for coding agents to run Tika for file-to-Markdown extraction.
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 apache/tika --skill tika-eval-encoding-regressiongit clone --depth 1 https://github.com/apache/tikaWrote 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/apache/tika/tika-eval-encoding-regression)<a href="https://agentmods.dev/skills/apache/tika/tika-eval-encoding-regression"><img src="https://agentmods.dev/badge/skills/apache/tika/tika-eval-encoding-regression/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/apache/tika/tika-eval-encoding-regression"><img src="https://agentmods.dev/badge/skills/apache/tika/tika-eval-encoding-regression.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 | $0.00060 | $0.02751 |
| Opus 5.5 | $0.00024 | $0.01100 |
| Sonnet 5.5 | $0.00012 | $0.00550 |
| Haiku 4.5 | $0.00006 | $0.00275 |
Grade A, and why
tika-eval-encoding-regression 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local override: $TIKA_SKILLS_LOCAL/tika-eval-encoding-regression/LOCAL.md (default ~/.tika-skills),
read after this file, wins on conflict.
tika-eval for encoding-detector regression hunts
A condensed pattern for finding SBCS→CJK style charset-detector regressions (or any "A picks encoding X, B picks encoding Y" question) without building two tika-app distributions.
Two configs, one build
Encoding-detector experiments don't need a "before" and "after" tika-app —
the chain composition is per-config. Run the SAME tika-app twice against
two configs, treat the outputs as -a and -b. Much faster than
tika-eval-compare's two-build flow.
# build once
./mvnw clean install -pl tika-app -am -Pfast -DskipTests \
-Dmaven.repo.local=$(pwd)/.local_m2_repo
unzip -q tika-app/target/tika-app-*.zip -d /tmp/tika-app-current
# two configs (any combination of detectors)
java -jar /tmp/tika-app-current/tika-app-*.jar \
--config=tika-config-3x-default.json \
-i <corpus> -o <workdir>/extracts/A -n 6
java -jar /tmp/tika-app-current/tika-app-*.jar \
--config=tika-config-junkfilter-combiner.json \
-i <corpus> -o <workdir>/extracts/B -n 6
# normal Compare
java -jar /tmp/tika-eval-current/tika-eval-app-*.jar Compare \
-a <workdir>/extracts/A -b <workdir>/extracts/B -d <workdir>/extracts/A-vs-B -r -rd <workdir>/extracts/A-vs-B-reports
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 · 231 lines · 60 tokens per session scan A b4fb98c32a84
tika-eval-encoding-regression is a skill published in the GitHub repository apache/tika (4,098 stars, last pushed yesterday), licensed Apache-2.0. It adds 60 tokens to every session and 2,751 once invoked, about $0.0002 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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