Hope Agent is a cross-device personal AI assistant that remembers context, uses tools, and continues working toward goals through dynamically organized workflows. Individuals use it from desktop, web, server, or messaging environments to manage projects, knowledge, designs, and long-running tasks. The catalogue add-ons extend its agent workflows and capabilities.
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 shiwenwen/hope-agent --skill office-docxgit clone --depth 1 https://github.com/shiwenwen/hope-agentWrote 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/shiwenwen/hope-agent/office-docx)<a href="https://agentmods.dev/skills/shiwenwen/hope-agent/office-docx"><img src="https://agentmods.dev/badge/skills/shiwenwen/hope-agent/office-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/shiwenwen/hope-agent/office-docx"><img src="https://agentmods.dev/badge/skills/shiwenwen/hope-agent/office-docx.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 | $0.00064 | $0.01589 |
| Opus 5 | $0.00032 | $0.00794 |
| Sonnet 5 | $0.00013 | $0.00318 |
| Haiku 4.5 | $0.00006 | $0.00159 |
Grade A, and why
office-docx scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Office DOCX
Use the bundled scripts in this skill package to produce editable .docx
files. The builder writes deterministic OOXML with real Word numbering,
tables, images with alt text, comments, and tracked changes. The skill
activation metadata includes Skill directory; treat that as SKILL_DIR and
run scripts from SKILL_DIR/scripts/.
Workflow
- Decide the document archetype: brief, proposal, SOP, form, checklist, report, memo, or reference guide.
- Create a JSON spec in the working directory. Use semantic blocks:
heading,paragraph,bullet_list,numbered_list,table,callout,image,comment,revision, andpage_break. - For a new document, run:
python3 "$SKILL_DIR/scripts/check_env.py"
python3 "$SKILL_DIR/scripts/build_docx.py" --spec spec.json --out output.docx
python3 "$SKILL_DIR/scripts/inspect_docx.py" --verify output.docx
python3 "$SKILL_DIR/scripts/a11y_audit.py" output.docx
- To append to an existing document, use a spec containing only the new
blocks, then run:
python3 "$SKILL_DIR/scripts/append_docx.py" --input existing.docx --spec append.json --out output.docx
python3 "$SKILL_DIR/scripts/inspect_docx.py" --verify output.docx
- To convert a Markdown draft directly:
python3 "$SKILL_DIR/scripts/markdown_to_docx.py" --markdown draft.md --out output.docx
python3 "$SKILL_DIR/scripts/inspect_docx.py" --verify output.docx
- For Google Docs-targeted output, sanitize before render/import:
python3 "$SKILL_DIR/scripts/google_docs_title_sanitize.py" output.docx --out sanitized.docx
python3 "$SKILL_DIR/scripts/google_docs_title_sanitize.py" sanitized.docx --check
Use sanitized.docx for preview rendering and native Google Docs import.
- For redline/comment work, use
commentblocks orrevisionblocks:
{"type": "comment", "target": "This sentence needs support.", "comment": "Add source."}
{"type": "revision", "delete": "old wording", "insert": "new wording"}
What ships with it
27 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 300 B
- scripts/a11y_audit.py 4.7 KB runs code
- scripts/accept_tracked_changes.py 2.0 KB runs code
- scripts/add_tracked_replacements.py 3.6 KB runs code
- scripts/append_docx.py 7.0 KB runs code
- scripts/build_docx.py 22 KB runs code
- scripts/check_env.py 917 B runs code
- scripts/comments_extract.py 1.2 KB runs code
- scripts/comments_strip.py 2.0 KB runs code
- scripts/compare_docx.py 1.6 KB runs code
- scripts/content_controls.py 1.8 KB runs code
- scripts/docx_table_to_csv.py 1.2 KB runs code
- scripts/fields_report.py 783 B runs code
- scripts/google_docs_title_sanitize.py 3.2 KB runs code
- scripts/insert_note.py 3.8 KB runs code
- scripts/insert_toc.py 1.3 KB runs code
- scripts/inspect_docx.py 3.6 KB runs code
- scripts/internal_nav.py 3.6 KB runs code
- scripts/markdown_to_docx.py 3.4 KB runs code
- scripts/merge_docx_append.py 1.7 KB runs code
- scripts/privacy_scrub_metadata.py 1.3 KB runs code
- scripts/redact_docx.py 2.1 KB runs code
- scripts/render_pdf.py 948 B runs code
- scripts/render_preview.py 2.1 KB runs code
- scripts/set_protection.py 1.2 KB runs code
- scripts/watermark_add.py 3.4 KB runs code
- scripts/watermark_audit_remove.py 2.0 KB runs code
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 · 149 lines · 64 tokens per session scan A 494887636c4c
office-docx is a skill published in the GitHub repository shiwenwen/hope-agent (1,589 stars, last pushed 2d ago), licensed MIT. It adds 64 tokens to every session and 1,589 once invoked, about $0.0003 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.
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