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 oliver-kriska/claude-elixir-phoenix --skill promotegit clone --depth 1 https://github.com/oliver-kriska/claude-elixir-phoenixWrote 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/oliver-kriska/claude-elixir-phoenix/promote)<a href="https://agentmods.dev/skills/oliver-kriska/claude-elixir-phoenix/promote"><img src="https://agentmods.dev/badge/skills/oliver-kriska/claude-elixir-phoenix/promote/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/oliver-kriska/claude-elixir-phoenix/promote"><img src="https://agentmods.dev/badge/skills/oliver-kriska/claude-elixir-phoenix/promote.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01377 |
| Opus 5 | $0.00019 | $0.00688 |
| Sonnet 5 | $0.00008 | $0.00275 |
| Haiku 4.5 | $0.00004 | $0.00138 |
Grade A, and why
promote 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 10d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/promote — Release Promotion Post Generator
Generate data-driven X/Twitter posts for plugin releases with ASCII cards ready for CodeSnap screenshots.
When to use
Run /promote vX.Y.Z after tagging a release. Optionally add a title: /promote v2.8.0 "LiveView Streams Overhaul".
Output
All files go to scratchpad/x-posts/{version}-release.md (create directory if needed).
The output file contains three sections:
- ASCII Card — box-drawing table for CodeSnap screenshot
- Tweet Thread — 3-5 tweets in proven format
- CodeSnap Command — exact CLI command to render the card
- Fact-Check — every claim with verifiable data source
Execution Flow
Step 1: Gather Data
Collect these metrics (all are verifiable commands — run them, don't estimate):
| Metric | How to get it |
|---|---|
| File count + insertions/deletions | git diff --stat {prev-tag}..{tag} |
| Skill count | ls plugins/elixir-phoenix/skills/ | wc -l |
| Agent count | ls plugins/elixir-phoenix/agents/*.md | wc -l |
| Iron Law count | Grep for numbered Iron Laws in CLAUDE.md |
| Eval scores | make eval-all (run it, report actual numbers) |
| Changelog entries | Read CHANGELOG.md for this version's section |
| Before/after metrics | Depends on release — look for quantifiable changes |
The strongest posts have before/after comparisons. Look for changes in CHANGELOG.md that have measurable deltas (line counts, counts of affected files, error rates, coverage numbers).
Step 2: Write the ASCII Card
The card is the visual centerpiece — it gets screenshotted via CodeSnap and attached to tweet 1.
Rules:
- Exactly 72 characters wide (including borders) — consistent with past posts
- Use Unicode box-drawing:
┌─┐│└┘╞═╡╤╪╧for borders and separators - Include: version + title, headline stats, before/after table, repo URL
- The table content comes from Step 1 data — pick the 3-5 most impressive changes
- VERIFY ALIGNMENT: After writing the table, run a Python script to check every line has the same visual width. Off-by-one errors are the most common problem — em dashes (
—) and arrows (→) are single-width but easy to miscount. Every line between the top┌and bottom└borders must be exactly 72 visual characters
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.
- 10d ago First seen · 114 lines · 39 tokens per session scan A ddb324bb5edf
promote is a skill published in the GitHub repository oliver-kriska/claude-elixir-phoenix (542 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 1,377 once invoked, about $0.0002 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 2026-08-30.
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