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/luna-prompts/skillnote/collectionnpx skills add luna-prompts/skillnote --skill collectiongit clone --depth 1 https://github.com/luna-prompts/skillnoteWrote 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/luna-prompts/skillnote/collection)<a href="https://agentmods.dev/skills/luna-prompts/skillnote/collection"><img src="https://agentmods.dev/badge/skills/luna-prompts/skillnote/collection.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00039 | $0.00685 |
| Opus 5 | $0.00019 | $0.00342 |
| Sonnet 5 | $0.00008 | $0.00137 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
collection scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sf "${API}/v1/collections" 2>/dev/null || echo "[]" How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SkillNote Collection Manager
Help the user choose which skill collection syncs into this project. The choice is stored in ./.skillnote.json; the plugin's sync hook materializes that collection's skills into ./.codex/skills/ on the next prompt.
Resolve the host
HOST=$(cat ~/.skillnote/host 2>/dev/null | tr -d '[:space:]'); HOST=${HOST:-localhost}
API="http://${HOST}:8082"
Step 1: Fetch collections
curl -sf "${API}/v1/collections" 2>/dev/null || echo "[]"
Step 2: Present the choices
Codex has no multiple-choice tool, so present a clear numbered list in plain text and ask the user to reply with a number or name. Build the list in this order:
- Recommended first: if
basename($PWD)(lowercased, non-alphanumerics →-) matches an existing collection name, list it first and mark it· recommended. - All other existing collections as
<name> — <count> skills. Mark the currently-active one (from./.skillnote.json) with(current). Create a new collection…Skip (no skills synced)
Then ask: "Which collection should this project use? (reply with a number or name)" and wait for the reply.
Step 3: Apply the selection
Existing collection
echo '{"collections": ["<SELECTED_NAME>"]}' > ./.skillnote.json
rm -f ./.codex/skills/.last-sync-time # force an immediate re-sync on the next prompt
Tell the user: "Switched to . Your skills refresh on your next message — or type /skills after a moment."
Create a new collection
Ask for a name in plain text. Validate: must match ^[a-z0-9_-]+$, 1–128 chars, and must not contain anthropic or claude. Re-prompt once if invalid. Then:
curl -sf -X POST "${API}/v1/collections" \
-H "Content-Type: application/json" \
-d '{"name": "<NAME>", "description": ""}'
If curl returns 409, the collection already exists — offer to activate it instead. On success, write it to ./.skillnote.json and reset the sync throttle exactly as above.
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 First seen · 64 lines · 39 tokens per session scan A 31e92d020ca9
collection is a skill published in the GitHub repository luna-prompts/skillnote (59 stars, last pushed 20d ago), licensed MIT. It adds 39 tokens to every session and 685 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.
Other skills, from other repositories
prompt-architect
Analyzes and improves prompts using 31 frameworks across 7 intent categories. Use when a user wants to improve, rewrite, structure, or engineer a prompt — including requests like "help me write a better prompt", "improve this prompt", "what framework should I use", "make this prompt more effective", or any prompt…
verify
Fact-check claims encountered during reading — dates, names, events, citations. Use when encountering historical facts or disputed claims.
expert
Base expert skill.
alpha
Alpha skill.
assistant
Assistant — on any repo, scan README→docs→AGENTS→CONTRIBUTING→PR templates→task runners→devcontainer→CI→configs before code; cite sources; prefer AGENTS.md for agent behavior; portable across Cursor/Copilot/Claude; use agent-toolkit CLI when needed.
design-improvement
WHAT - Browser-grounded iterative design improvement. Consumes design-assessment findings, defines direction, prioritizes safe vs ambiguous changes, implements within existing design system, runs app, captures rendered evidence via browser, reviews and iterates. Reuses evidence model — no new scoring framework.