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 AtlasOmnia/donna-starter --skill content-stylegit clone --depth 1 https://github.com/AtlasOmnia/donna-starterWrote 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/atlasomnia/donna-starter/content-style)<a href="https://agentmods.dev/skills/atlasomnia/donna-starter/content-style"><img src="https://agentmods.dev/badge/skills/atlasomnia/donna-starter/content-style.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 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 Supply Chain · line 504 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Excessive Agency · line 218 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 368 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
- medium Output Handling · line 496 Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 | $0.00037 | $0.07455 |
| Opus 5 | $0.00018 | $0.03728 |
| Sonnet 5 | $0.00007 | $0.01491 |
| Haiku 4.5 | $0.00004 | $0.00745 |
Grade A, and why
content-style 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 8d 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.
- Explicit tool to use (e.g., `curl` against HF HTTP API rather than `web_extract`) Copies of this mod
1 near-identical copy found in the catalogue:
- content-style — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 533 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Style: r/hermesagent & Community Posts
Overview
Writing Reddit-native content that sounds human, avoids AI tells, and delivers value through structure and specificity. Applies to workshop posts, definitive model guides, research megathreads, and community FYI/update posts.
Hook Patterns
Lead with one of these:
- Contradiction — "Everyone says X but Y is actually true"
- Specific number — "The 3 tools I use daily"
- Pain point — "If you're doing X, stop"
- Before/after — "Before: Y. After: Z"
- Question — "Why does X still suck?"
Writing Principles
- Hook first, details second
- Lead with what people actually care about
- Concrete over abstract: specific examples beat general advice
- One idea per paragraph
- End on a clear takeaway
Product-name disambiguation before drafting
For “How would you describe X on Reddit?” requests, lock the exact product identity before importing features or architecture:
- Treat likely voice-dictation homophones (
box/Vox,Voz/Vox) as ambiguous names, not permission to substitute the nearest familiar project. - Search for the exact spelling and check whether it is an external product, a renamed product, or one of the user’s similarly named apps.
- Describe only features supported by that product’s source material. Do not transfer one voice-learning product's capabilities to another merely because they share a category.
- If the user corrects the name, acknowledge it briefly and rewrite from the corrected identity; do not preserve assumptions from the earlier draft.
Plain-language Reddit product explainer
Use this compact order for a comment-sized explanation:
- What it is — one sentence in ordinary language.
- What the user does — the concrete interaction.
- How it works — only the essential mechanism, without architecture dumping.
- Why it is different — one comparison readers immediately understand.
Keep a short Reddit comment short unless the user asks for a full post. Avoid marketing copy such as “revolutionary,” unsupported privacy claims, or a polished feature list that has not been verified.
What ships with it
12 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/beginner-setup-guide-format.md 3.2 KB
- references/community-aggregated-megathread-format.md 5.9 KB
- references/compliance-to-readable-patterns.md 3.9 KB
- references/cross-model-audit-prompt.md 5.2 KB
- references/definitive-guide-format.md 7.8 KB
- references/definitive-guide-reviews-section.md 5.1 KB
- references/hermes-instruction-compliance-memory.md 3.4 KB
- references/huggingface-card-benchmark-verification.md 5.5 KB
- references/mac-mlx-research-data.md 5.3 KB
- references/nous-portal-critic-workflow.md 5.0 KB
- references/publication-artifact-critic-sequencing.md 1.4 KB
- references/reddit-megathread-polish-workflow.md 3.1 KB
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.
- 8d ago First seen · 533 lines · 37 tokens per session scan A e65015b47c1f
content-style is a skill published in the GitHub repository AtlasOmnia/donna-starter (107 stars, last pushed 9d ago), licensed MIT. It adds 37 tokens to every session and 7,455 once invoked, about $0.0002 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 2026-08-30.
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