SenseNova-Skills is a collection of modular skills that extend SenseNova models with office-assistant capabilities such as image generation, presentation creation, spreadsheet analysis, and research. The skills are designed for use in agent runtimes and can be combined into productivity workflows; the catalogue entries are individual skills and agents from this collection.
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 OpenSenseNova/SenseNova-Skills --skill sn-ppt-workbenchgit clone --depth 1 https://github.com/OpenSenseNova/SenseNova-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/opensensenova/sensenova-skills/sn-ppt-workbench)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-ppt-workbench"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-ppt-workbench/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/opensensenova/sensenova-skills/sn-ppt-workbench"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-ppt-workbench.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 | $0.00088 | $0.02333 |
| Opus 5 | $0.00044 | $0.01167 |
| Sonnet 5 | $0.00018 | $0.00467 |
| Haiku 4.5 | $0.00009 | $0.00233 |
Grade A, and why
sn-ppt-workbench scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sn-ppt-workbench
Start or reuse the AI PPT editing WebUI for an existing HTML slide deck. The
helper prefers Hermes/canvas/port-forward URLs when available. Without a
forwarded URL, native hosts bind to localhost by default, while Docker/WSL bind
to 0.0.0.0 so remote users can reach the WebUI through the host network.
Use Cases
- The user already generated a deck and asks to open the WebUI/editor/workbench.
- The user provides a
deck_dircontainingpages/page_NNN.htmlor root-level.htmlslides. - The user says to inspect or edit previously generated slides without regenerating them.
Hard Rules
- Do not run
sn-ppt-entry,sn-ppt-standard,page-html,batch-page-html, orexport. - Do not edit slide files directly. The WebUI handles user-visible editing.
- If
deck_diris missing, auto-detect the newest usable deck under:$(pwd)/ppt_decks~/Downloads/ppt_decks~/Repository/ppt_decks
- If no usable deck is found, ask the user for the absolute
deck_dir. - Workbench startup is best-effort. If it skips or fails, report the reason and do not attempt generation as a fallback.
- Prefer a forwarded/canvas URL over localhost when the user may be on SSH, IM, or another remote device.
Invocation
Use the helper directly:
python3 $SKILL_DIR/scripts/open_workbench.py --deck-dir "<deck_dir>" --agent-session-id "${HERMES_SESSION_KEY:-}"
On native Windows where python3 is unavailable:
python $SKILL_DIR/scripts/open_workbench.py --deck-dir "<deck_dir>" --agent-session-id "%HERMES_SESSION_KEY%"
If the user did not provide a deck path, let the helper auto-detect:
python3 $SKILL_DIR/scripts/open_workbench.py --agent-session-id "${HERMES_SESSION_KEY:-}"
Pass same-session bridge details when available:
python3 $SKILL_DIR/scripts/open_workbench.py \
--deck-dir "<deck_dir>" \
--agent-session-id "${HERMES_SESSION_KEY:-}" \
--agent-managed 1 \
--agent-provider hermes \
--agent-transport gateway \
--webui-base-url "${HERMES_WEBUI_BASE_URL:-}" \
--gateway-base-url "${HERMES_GATEWAY_BASE_URL:-}"
What ships with it
11 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.
- references/gateway-auth.md 5.4 KB
- scripts/open_workbench.py 19 KB runs code
- workbench-runtime/bin/sensenova-ppt-workbench.mjs 19 KB runs code
- workbench-runtime/dist-server/index.mjs 1855 KB runs code
- workbench-runtime/dist/assets/index-CkM9dGWn.js 491 KB runs code
- workbench-runtime/dist/assets/index-CRfURb1w.css 123 KB
- workbench-runtime/dist/assets/MarkdownArtifactViewer-0j-iJPy3.js 108 KB runs code
- workbench-runtime/dist/favicon.svg 9.3 KB
- workbench-runtime/dist/index.html 531 B
- workbench-runtime/dist/sensetime-mark.png 24 KB
- workbench-runtime/package.json 422 B
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.
- 9d ago First seen · 210 lines · 88 tokens per session scan A 2c6c57ddd004
sn-ppt-workbench is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 2,333 once invoked, about $0.0004 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 2026-09-03.
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