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-pptxgit 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-pptx)<a href="https://agentmods.dev/skills/shiwenwen/hope-agent/office-pptx"><img src="https://agentmods.dev/badge/skills/shiwenwen/hope-agent/office-pptx/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-pptx"><img src="https://agentmods.dev/badge/skills/shiwenwen/hope-agent/office-pptx.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 | $0.00062 | $0.01567 |
| Opus 5.5 | $0.00025 | $0.00627 |
| Sonnet 5.5 | $0.00012 | $0.00313 |
| Haiku 4.5 | $0.00006 | $0.00157 |
Grade A, and why
office-pptx scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Office PPTX
Use the bundled scripts in this skill package to produce editable .pptx
decks. The builder writes editable text boxes, image placements, metric cards,
tables, timelines, drawn proof charts, and native PowerPoint chart objects. The
skill activation metadata includes Skill directory; treat that as SKILL_DIR
and run scripts from SKILL_DIR/scripts/.
Story First
Before building slides, identify:
- Audience and decision context.
- Claim spine: what each slide proves.
- Required proof objects: table, metric, comparison, workflow, timeline, or narrative slide.
- Visual rhythm: title, section, bullets, two-column, and appendix slides.
Every slide should have one job.
Workflow
- Draft the slide list and title-level claims.
- For explicit control, convert each slide into a structured slide object and run:
python3 "$SKILL_DIR/scripts/check_env.py"
python3 "$SKILL_DIR/scripts/build_pptx.py" --spec spec.json --out output.pptx
python3 "$SKILL_DIR/scripts/inspect_pptx.py" --verify output.pptx
python3 "$SKILL_DIR/scripts/layout_audit.py" output.pptx
- For a Markdown outline, use
# Deck title,## Slide title,## Section: Name, and bullet lists, then run:
python3 "$SKILL_DIR/scripts/outline_to_pptx.py" --outline outline.md --out output.pptx
python3 "$SKILL_DIR/scripts/inspect_pptx.py" --verify output.pptx
- If visual QA matters and LibreOffice is available, run:
python3 "$SKILL_DIR/scripts/render_preview.py" output.pptx
- To append slides to an existing deck without rebuilding it:
python3 "$SKILL_DIR/scripts/append_pptx.py" --input existing.pptx --spec append.json --out output.pptx
python3 "$SKILL_DIR/scripts/inspect_pptx.py" --verify output.pptx
python3 "$SKILL_DIR/scripts/layout_audit.py" output.pptx --reference existing.pptx
- For targeted edits to an existing deck, patch text in place to preserve the source package, theme, layouts, media, and animations:
python3 "$SKILL_DIR/scripts/patch_pptx.py" --input existing.pptx --patch patch.json --out output.pptx
python3 "$SKILL_DIR/scripts/layout_audit.py" output.pptx --reference existing.pptx
What ships with it
13 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 290 B
- scripts/append_pptx.py 5.2 KB runs code
- scripts/build_pptx.py 26 KB runs code
- scripts/check_env.py 1.0 KB runs code
- scripts/deck_reorder.py 3.7 KB runs code
- scripts/duplicate_slide.py 3.3 KB runs code
- scripts/inspect_pptx.py 2.5 KB runs code
- scripts/layout_audit.py 5.6 KB runs code
- scripts/make_contact_sheet.py 1.4 KB runs code
- scripts/outline_to_pptx.py 2.4 KB runs code
- scripts/patch_pptx.py 2.2 KB runs code
- scripts/render_pdf.py 894 B runs code
- scripts/render_preview.py 2.1 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.
- 1mo ago First seen · 153 lines · 62 tokens per session scan A ca1f92430b13
office-pptx is a skill published in the GitHub repository shiwenwen/hope-agent (1,860 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,567 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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