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 ur-grue/autopunk-media-skills --skill publication-timing-advisorgit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote 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/ur-grue/autopunk-media-skills/publication-timing-advisor)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/publication-timing-advisor"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/publication-timing-advisor/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/ur-grue/autopunk-media-skills/publication-timing-advisor"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/publication-timing-advisor.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 | $0.00040 | $0.01322 |
| Opus 5 | $0.00020 | $0.00661 |
| Sonnet 5 | $0.00008 | $0.00264 |
| Haiku 4.5 | $0.00004 | $0.00132 |
Grade A, and why
publication-timing-advisor 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 12d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Publication Timing Advisor
What This Skill Does
Recommends the best day and time to publish a piece of content based on the content type, platform, and intended audience — without requiring access to live analytics data.
When To Use This Skill
- You are scheduling a story, video, or episode and want to maximise the chance it reaches its audience at the right moment
- You are coordinating a multi-platform release and need to sequence publication across channels
- You are deciding between competing publication slots and want a structured rationale for the choice
- You are planning a content calendar and need timing logic built in from the start
What You Need To Provide
Required:
- Content type (news article, feature, video, podcast episode, newsletter, social post, etc.)
- Platform or channel (website, YouTube, podcast app, Instagram, LinkedIn, newsletter, etc.)
- Intended audience (general public, professionals in a specific field, younger readers, regional audience, etc.)
Optional:
- Topic or subject area (some topics have strong day-of-week patterns — e.g., Monday briefings, Friday long-reads)
- Any news hook or time-sensitive element (a court verdict, a report release, an anniversary)
- Your existing publication schedule, so recommendations avoid clashing with your own content
- Timezone of your primary audience
How the Assistant Approaches This
- Identifies the content's relationship to time — is it news-driven (publish as fast as possible), evergreen (timing is flexible), or event-anchored (must align with an external date)?
- Cross-references the content type and platform with known audience behaviour patterns for that format — for example, professional LinkedIn audiences are most active on weekday mornings; podcast listening peaks during commuting hours; newsletters sent on Tuesday outperform those sent on Friday for most general audiences
- Produces a primary recommendation with a rationale, then one or two alternative windows if flexibility exists
- Flags any timing risks — competing content cycles, low-traffic windows, or platform-specific factors that could suppress reach
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.
- 12d ago First seen · 88 lines · 40 tokens per session scan A 4c2b43183fed
publication-timing-advisor is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 40 tokens to every session and 1,322 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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