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-doctorgit 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-doctor)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-ppt-doctor"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-ppt-doctor/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-doctor"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-ppt-doctor.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 Privilege Escalation · line 5 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 47 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00053 | $0.00630 |
| Opus 5 | $0.00026 | $0.00315 |
| Sonnet 5 | $0.00011 | $0.00126 |
| Haiku 4.5 | $0.00005 | $0.00063 |
Grade A, and why
sn-ppt-doctor 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.
What it actually says
sn-ppt-doctor
When to use
- Before the first time you use
sn-ppt-entry/sn-ppt-creative/sn-ppt-standard, to verify env is wired - After you change
.env, to confirm - When
sn-ppt-entryreports missing-env error and tells you to come here
Hard checks (must pass before sn-ppt-entry can run)
- Text chat API key is available via
SN_TEXT_API_KEY, sharedSN_CHAT_API_KEY, or globalSN_API_KEY - Vision chat API key is available via
SN_VISION_API_KEY, sharedSN_CHAT_API_KEY, or globalSN_API_KEY - Image generation API key is available via
SN_IMAGE_GEN_API_KEYor globalSN_API_KEY sn-image-baseis discoverable andsn_agent_runner.py --helpworks (auto-resolved as a sibling skill under the sameskills/directory;SN_IMAGE_BASEonly needed for non-standard layouts)node --version>= 18
Soft checks (warnings only)
$(pwd)/ppt_decks/creatable and writable (deck_dir parent; fixed — not configurable via env)sn-ppt-standard/scripts/export_pptx/node_modulesexists (runnpm installon first use otherwise)- Optional env vars (
SN_IMAGE_GEN_*,SN_CHAT_*,SN_TEXT_*,SN_VISION_*) — displays current value or "unset" pypdf/python-docxPython deps for doc parsing in sn-ppt-entry
Invocation
Single-file entry; no package imports, no -m, no PYTHONPATH needed.
python $SKILL_DIR/ppt_doctor/check_environment.py # interactive
python $SKILL_DIR/ppt_doctor/check_environment.py --non-interactive
python $SKILL_DIR/ppt_doctor/check_environment.py --env-path /custom/.env
When used inside OpenClaw, /skill sn-ppt-doctor runs the same entry.
Output
Plain text report — one line per check — then a summary. On any hard-check failure, enters interactive mode to fill .env (unless --non-interactive).
Does NOT
- Modify
sn-image-*skills or their.env - Install packages automatically (prints install commands instead)
- Run any PPT pipeline
What ships with it
6 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.
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 · 61 lines · 53 tokens per session scan A 54d2a6a1ffd2
sn-ppt-doctor is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 630 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 2026-09-03.
Other skills, from other repositories
article-writer
Multi-style article creation skill. Supports 5 writing styles (deep analysis, practical guide, story-driven, opinion, news brief), including complete workflow: material collection → outline → content → formatting. Activated when users mention "write article", "write post", "create", or "draft".
skin-creator
Create and apply a two-asset LobsterAI visual skin from the user's style description. Use only when the AI Skin Designer kit supplies the structured skinpack workflow marker; do not use for ordinary theme or image requests.
content-planner
WeChat Official Account topic planning and content calendar management. Based on WeChat article search and trending analysis, generates differentiated topic recommendations and outputs structured content calendars. Activated when users mention "topic", "planning", "content calendar", "trending", or "what to write next…
music-search
Search cloud drives for downloadable music resources (songs, albums, lossless audio). Use this skill when the user wants to download a specific song or album. Do NOT use for general music information, lyrics, or recommendations.
stock-analyzer
A comprehensive stock deep analysis tool that combines real-time quotes, fundamental metrics, technical indicators, and growth analysis into a single professional report. Supports A-share, US stocks, HK stocks. Generates detailed investment recommendations with risk assessment and actionable trading strategies.
ha-skill-creator
Create, edit, improve, or audit Hope Agent skills. Use when the user wants to: (1) create a new skill from scratch, (2) edit or improve an existing skill, (3) review or clean up a SKILL.md file, (4) run evaluations to test skill effectiveness, (5) optimize skill descriptions for better trigger accuracy. Trigger…