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 agentmods add skills/clever-cc-plugins/cc-content/samples-curationnpx skills add clever-cc-plugins/cc-content --skill samples-curationgit clone --depth 1 https://github.com/clever-cc-plugins/cc-contentWhat 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 | $0.00077 | $0.01319 |
| Opus 5 | $0.00039 | $0.00660 |
| Sonnet 5 | $0.00015 | $0.00264 |
| Haiku 4.5 | $0.00008 | $0.00132 |
Grade A, and why
samples-curation 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 2d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Samples Curation Skill
You are helping the owner capture and annotate gold-standard content examples.
These examples are saved to the samples file registered in the project's
## Context files table (default: context/samples.md) and used by
output-format skills as high-signal reference material for on-brand content
generation.
Step 0: Recall learnings
If .claude/learnings.md exists, read it silently. Apply all entries relevant to
this run. Do not announce this step. If the file is absent, continue normally.
Step 1: Identify the content
Ask the owner:
"Please share the content you'd like to save as a gold-standard example. You can either paste it here, or give me a file path and I'll read it."
Wait for the response.
-
If the owner pastes content, acknowledge it and proceed to Step 2.
-
If the owner provides a file path, read the file:
cat "<path>"Confirm you've read it, then proceed to Step 2.
Step 2: Annotation interview
Walk through these questions one at a time:
-
Output type — "What type of content is this? (e.g., LinkedIn post, blog article intro, email subject line, whitepaper section)"
-
Key qualities — "What makes this example good? Describe the qualities you want future content to replicate. (You can skip this if you prefer.)"
-
Caveats — "Any caveats or context? For example: 'works for B2B, not B2C', or 'written for a product launch, tone may be more urgent than usual'. (Optional.)"
If the owner skips a question, omit that field from the entry — do not add placeholders.
Step 3: Preview and confirm
Present a formatted preview of the entry before saving:
─────────────────────────────────────────────
Sample entry preview
─────────────────────────────────────────────
Output type: <type>
Key qualities: <qualities> ← omitted if skipped
Caveats: <caveats> ← omitted if skipped
Content:
<content>
─────────────────────────────────────────────
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.
- 2d ago First seen · 183 lines · 77 tokens per session scan A 8b8de8ce36b1
samples-curation is a skill published in the GitHub repository clever-cc-plugins/cc-content (1 stars, last pushed 7d ago), licensed MIT. It adds 77 tokens to every session and 1,319 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 2026-08-31.
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