OpenAkita is an open-source framework for building an AI assistant made of multiple collaborating agents, plugins, tools, and sandboxed workflows. It is used to automate tasks such as web searches, computer operation, file management, scheduled jobs, and messaging across supported chat platforms. The catalogue entries are skills, rules, agents, and instructions that define or extend its workflows.
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 openakita/openakita --skill docxgit clone --depth 1 https://github.com/openakita/openakitaWrote 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/openakita/openakita/docx)<a href="https://agentmods.dev/skills/openakita/openakita/docx"><img src="https://agentmods.dev/badge/skills/openakita/openakita/docx/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/openakita/openakita/docx"><img src="https://agentmods.dev/badge/skills/openakita/openakita/docx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Prompt Injection · line 309 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Prompt Injection · line 390 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00173 | $0.04946 |
| Opus 5 | $0.00086 | $0.02473 |
| Sonnet 5 | $0.00035 | $0.00989 |
| Haiku 4.5 | $0.00017 | $0.00495 |
Grade A, and why
openakita/skills@docx 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 11d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
60 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.
- agents/openai.yaml 271 B
- docx-js.md 16 KB
- LICENSE.txt 1.4 KB
- ooxml.md 23 KB
- ooxml/schemas/ecma/fouth-edition/opc-contentTypes.xsd 1.9 KB
- ooxml/schemas/ecma/fouth-edition/opc-coreProperties.xsd 2.5 KB
- ooxml/schemas/ecma/fouth-edition/opc-digSig.xsd 2.8 KB
- ooxml/schemas/ecma/fouth-edition/opc-relationships.xsd 1.3 KB
- ooxml/schemas/ISO-IEC29500-4_2016/dml-chart.xsd 73 KB
- ooxml/schemas/ISO-IEC29500-4_2016/dml-chartDrawing.xsd 6.8 KB
- ooxml/schemas/ISO-IEC29500-4_2016/dml-diagram.xsd 50 KB
- ooxml/schemas/ISO-IEC29500-4_2016/dml-lockedCanvas.xsd 625 B
- ooxml/schemas/ISO-IEC29500-4_2016/dml-main.xsd 148 KB
- ooxml/schemas/ISO-IEC29500-4_2016/dml-picture.xsd 1.2 KB
- ooxml/schemas/ISO-IEC29500-4_2016/dml-spreadsheetDrawing.xsd 8.7 KB
- ooxml/schemas/ISO-IEC29500-4_2016/dml-wordprocessingDrawing.xsd 14 KB
- ooxml/schemas/ISO-IEC29500-4_2016/pml.xsd 82 KB
- ooxml/schemas/ISO-IEC29500-4_2016/shared-additionalCharacteristics.xsd 1.2 KB
- ooxml/schemas/ISO-IEC29500-4_2016/shared-bibliography.xsd 7.2 KB
- ooxml/schemas/ISO-IEC29500-4_2016/shared-commonSimpleTypes.xsd 6.2 KB
- ooxml/schemas/ISO-IEC29500-4_2016/shared-customXmlDataProperties.xsd 1.2 KB
- ooxml/schemas/ISO-IEC29500-4_2016/shared-customXmlSchemaProperties.xsd 881 B
- ooxml/schemas/ISO-IEC29500-4_2016/shared-documentPropertiesCustom.xsd 2.5 KB
- ooxml/schemas/ISO-IEC29500-4_2016/shared-documentPropertiesExtended.xsd 3.4 KB
- ooxml/schemas/ISO-IEC29500-4_2016/shared-documentPropertiesVariantTypes.xsd 7.3 KB
- ooxml/schemas/ISO-IEC29500-4_2016/shared-math.xsd 23 KB
- ooxml/schemas/ISO-IEC29500-4_2016/shared-relationshipReference.xsd 1.3 KB
- ooxml/schemas/ISO-IEC29500-4_2016/sml.xsd 237 KB
- ooxml/schemas/ISO-IEC29500-4_2016/vml-main.xsd 26 KB
- ooxml/schemas/ISO-IEC29500-4_2016/vml-officeDrawing.xsd 25 KB
- ooxml/schemas/ISO-IEC29500-4_2016/vml-presentationDrawing.xsd 536 B
- ooxml/schemas/ISO-IEC29500-4_2016/vml-spreadsheetDrawing.xsd 5.6 KB
- ooxml/schemas/ISO-IEC29500-4_2016/vml-wordprocessingDrawing.xsd 3.9 KB
- ooxml/schemas/ISO-IEC29500-4_2016/wml.xsd 167 KB
- ooxml/schemas/ISO-IEC29500-4_2016/xml.xsd 4.5 KB
- ooxml/schemas/mce/mc.xsd 3.1 KB
- ooxml/schemas/microsoft/wml-2010.xsd 26 KB
- ooxml/schemas/microsoft/wml-2012.xsd 3.7 KB
- ooxml/schemas/microsoft/wml-2018.xsd 902 B
- ooxml/schemas/microsoft/wml-cex-2018.xsd 1.7 KB
- ooxml/schemas/microsoft/wml-cid-2016.xsd 1003 B
- ooxml/schemas/microsoft/wml-sdtdatahash-2020.xsd 601 B
- ooxml/schemas/microsoft/wml-symex-2015.xsd 746 B
- ooxml/scripts/pack.py 5.4 KB runs code
- ooxml/scripts/unpack.py 1.0 KB runs code
- ooxml/scripts/validate.py 1.9 KB runs code
- ooxml/scripts/validation/__init__.py 336 B runs code
- ooxml/scripts/validation/base.py 38 KB runs code
- ooxml/scripts/validation/docx.py 9.5 KB runs code
- ooxml/scripts/validation/pptx.py 12 KB runs code
- ooxml/scripts/validation/redlining.py 11 KB runs code
- scripts/__init__.py 1 B runs code
- scripts/accept_changes.py 3.9 KB runs code
- scripts/comment.py 10 KB runs code
- scripts/document.py 49 KB runs code
- scripts/office/helpers/__init__.py 1 B runs code
- scripts/office/helpers/merge_runs.py 5.4 KB runs code
- scripts/office/helpers/simplify_redlines.py 5.6 KB runs code
- scripts/office/pack.py 4.8 KB runs code
- scripts/office/schemas/ecma/fouth-edition/opc-contentTypes.xsd 1.9 KB
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.
- 11d ago First seen · 483 lines · 173 tokens per session scan A 78ff07398c18
openakita/skills@docx is a skill published in the GitHub repository openakita/openakita (1,982 stars, last pushed yesterday), licensed AGPL-3.0. It adds 173 tokens to every session and 4,946 once invoked, about $0.0009 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 2026-08-30.
Other skills, from other repositories
hive.pdf
Read, write, merge, split, rotate, watermark, encrypt, and OCR PDF files using Python (pypdf, pdfplumber, reportlab, pypdfium2) and command-line tools (poppler-utils, qpdf). Use when the user asks to extract text/tables/images from a PDF, create or modify a PDF, combine or split PDFs, OCR a scanned PDF…
spreadsheet-analyst
OwnPilot official general skill for planning spreadsheet models, analyzing CSV or table data, explaining formulas, checking data quality, and designing reports. Use when the user works with spreadsheet-like data.
yida-formula
A reference and set of rules for writing formulas in Yida form fields. It covers built-in functions, field references, calculated defaults, and custom submission checks.
yida-export-conversation
A local tool workflow for exporting AI conversation records into a structured Markdown document. Markdown is a plain-text format commonly used for readable technical documents; the workflow supports Claude Code automatic detection and manual JSONL input elsewhere.
yida-tingji
A read-only command workflow for retrieving the full details of a DingTalk Tingji recording, transcript, meeting summary, or AI note. DingTalk Tingji is DingTalk's service for recording and transcribing meetings.
nutrient-openclaw
Use the pinned Nutrient OpenClaw plugin to convert, OCR, extract, redact, watermark, sign, or inspect the last-known local credit record for documents. Route only OpenClaw document-processing requests to its declared tools. Treat processing as an external, credit-consuming DWS transfer that requires a bounded estimate…