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 notque/vexjoy-agent --skill series-plannergit clone --depth 1 https://github.com/notque/vexjoy-agentWrote 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/notque/vexjoy-agent/series-planner)<a href="https://agentmods.dev/skills/notque/vexjoy-agent/series-planner"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/series-planner/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/notque/vexjoy-agent/series-planner"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/series-planner.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 | $0.00018 | $0.00945 |
| Opus 5.5 | $0.00007 | $0.00378 |
| Sonnet 5.5 | $0.00004 | $0.00189 |
| Haiku 4.5 | $0.00002 | $0.00094 |
Grade A, and why
series-planner 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 25d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Series Planner Skill
Plan multi-part content series: assess viability, select structure, produce plan with cross-linking and cadence. Three phases with strict gates.
Deep References
| Signal | Load | Why |
|---|---|---|
| Publishing frequency, delay handling | references/cadence-guidelines.md |
Schedule selection criteria |
| Navigation links, Hugo implementation | references/cross-linking.md |
Prev/next nav, shortcodes, landing pages |
| Plan output format | references/output-format.md |
Complete plan template |
| Series types, selection matrix | references/series-types.md |
Three type templates with examples |
Usage
/series [topic]
/series --type=progressive [topic] # Force type
/series --parts=5 [topic] # Target count
/series --with-landing [topic] # Include landing page
/series --minimal [topic] # Titles and scope only
Phase 1: ASSESS
Determine viability and natural divisions.
- Analyze topic: scope (narrow/medium/broad), natural divisions, audience progression.
- Check viability: minimum 3 distinct subtopics, each stands alone, logical progression exists, no filler.
- Detect series type:
| Signal | Type |
|---|---|
| learn, master, deep dive | Progressive Depth |
| build, create, project | Chronological Build |
| why we chose, migration, debugging | Problem Exploration |
Gate: 3+ natural divisions identified. If fewer, recommend single post or scope adjustment.
Phase 2: DECIDE
Select type, part count (strict 3-7 bounds), and structure.
- Select type and justify. Define part count and word estimate.
- Draft breakdown per part: title, scope (1 sentence), standalone value, adjacent links.
- Validate standalone value for every part:
- Reader learns something complete and actionable from this part alone
- Working code/config/output possible without other parts
- No critical info deferred to other parts
- Search landing on this part alone yields value
Red flags (reject): "read Part 1 first" dependency, mid-implementation endings, concepts only in earlier parts.
What ships with it
4 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.
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.
- 26d ago Changed · -78 lines · +2 tokens per session d1de80025b90
- 27d ago Changed · -173 lines 181479fe65fd
- 1mo ago First seen · 288 lines · 18 tokens per session scan A 31d3dadf5926
series-planner is a skill published in the GitHub repository notque/vexjoy-agent (442 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 945 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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