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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skillsnpx agentmods add skills/opensensenova/sensenova-skills/sn-image-doctorWrote 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-image-doctor)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-image-doctor"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-image-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-image-doctor"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-image-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 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 7 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 151 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 152 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 159 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 160 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 | $0.00063 | $0.01316 |
| Opus 5 | $0.00032 | $0.00658 |
| Sonnet 5 | $0.00013 | $0.00263 |
| Haiku 4.5 | $0.00006 | $0.00132 |
Grade A, and why
sn-image-doctor scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
4. Test with curl: How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sn-image-doctor
Overview
sn-image-doctor is an infrastructure skill (tier 0) that validates the SenseNova-Skills environment before running other skills. It ensures SenseNova-Skills project is properly installed and configured.
This skill performs comprehensive checks including:
- Installation verification of SenseNova-Skills project
- Python dependency validation
- Environment variable configuration checks, with interactive prompts to configure missing required variables and save them to
.env - Automatic environment reload after configuration changes, with agent restart suggestion if reload fails
Usage
Run the doctor check to validate your environment:
# Basic check
python scripts/check_environment.py
# Verbose output with detailed diagnostics
python scripts/check_environment.py --verbose
Output Format
Text Output
=== SenseNova-Skills Environment Check ===
[1/3] Checking sn-image-base installation...
✅ Installation looks good
[2/3] Checking Python dependencies...
✅ Python 3.11.0
✅ All required packages installed
[3/3] Checking environment variables...
❌ SN_IMAGE_GEN_API_KEY: Image generation API key is not set; configure SN_API_KEY, or configure SN_IMAGE_GEN_API_KEY only for an image-generation-specific override
Some required environment variables are missing.
Enter values below to save them to /path/to/.env.
Press Enter to skip a variable.
SN_API_KEY: <user input>
✅ Saved to /path/to/.env: SN_API_KEY
🔄 Reloading environment...
✅ Environment reloaded successfully
=== Summary ===
✅ Environment is properly configured
If reload fails, the output will suggest restarting the agent:
✅ Saved to /path/to/.env: SN_API_KEY
🔄 Reloading environment...
⚠️ Failed to reload environment: <error message>
💡 Suggestion: Restart the agent to apply new configuration
Error Output
When checks fail:
=== SenseNova-Skills Environment Check ===
[1/3] Checking sn-image-base installation...
❌ sn-image-base directory not found
Expected location: /path/to/skills/sn-image-base
[2/3] Checking Python dependencies...
❌ Missing packages: httpx, pillow
Run: pip install -r skills/sn-image-base/requirements.txt
=== Summary ===
❌ Environment check failed
Please fix the errors above before using SenseNova-Skills.
What ships with it
1 file 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.
- 4d ago Changed 067d0d9d470c
- 9d ago First seen · 212 lines · 63 tokens per session scan A 2064bb4e7a06
sn-image-doctor is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 1,316 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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