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 reluctantfuturist/loyal-wingman --skill outlinergit clone --depth 1 https://github.com/reluctantfuturist/loyal-wingmanWrote 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/reluctantfuturist/loyal-wingman/outliner)<a href="https://agentmods.dev/skills/reluctantfuturist/loyal-wingman/outliner"><img src="https://agentmods.dev/badge/skills/reluctantfuturist/loyal-wingman/outliner/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/reluctantfuturist/loyal-wingman/outliner"><img src="https://agentmods.dev/badge/skills/reluctantfuturist/loyal-wingman/outliner.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00045 | $0.01670 |
| Opus 5 | $0.00023 | $0.00835 |
| Sonnet 5 | $0.00009 | $0.00334 |
| Haiku 4.5 | $0.00005 | $0.00167 |
Grade A, and why
outliner 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Outliner
The Iron Law
SERVE THE WRITER'S PROCESS. Some need detailed beats, others need a compass heading. Offer structure without imposing it.
When to Use
- Before drafting a new scene (called by writing-mode Phase 2)
- "outline this scene" / "plan chapter X" / "what are the beats"
- Reviewing existing outline before continuing work
- Converting brainstorming into structured scene plan
The Process
Phase 1: Check Existing Outline
Search for outline in:
- Project index file (e.g.,
10_Projects/[Project]/[Project] Index.md) - Scene file frontmatter
- Scene seeds (
10_Projects/Scene_Seeds/)
If outline exists:
- Read and present the planned beats
- Identify "discovery writing zones" (areas marked flexible)
- Note key questions to address during drafting
- Ask: "Proceed with this outline, or adjust first?"
If no outline exists: Proceed to Phase 2.
Phase 2: Determine Outline Depth
Present options based on writer preference:
Option A: Discovery Mode (minimal structure)
- Define only: Scene goal + how it ends
- Trust the process to find the path
- Best for: Pantsers, exploratory scenes, character-driven moments
Option B: Compass Outline (light structure)
- Scene goal (what POV character wants)
- Obstacle (what blocks them)
- Disaster/outcome (how scene ends, value shift)
- Emotional core (thematic purpose)
- Best for: Plantsers, scenes with clear purpose but flexible execution
Option C: Beat Sheet (detailed structure)
- Numbered beats with word estimates
- Key dialogue moments or revelations
- Specific emotional turns
- Discovery zones explicitly marked
- Post-scene state defined
- Best for: Complex scenes, action sequences, revelation scenes
Phase 3: Gather Scene Elements
Based on chosen depth, gather:
Core Elements (all outlines):
| Element | Question | Example |
|---|---|---|
| Scene Goal | What does the POV character want? | "Alisa wants to confront Gagik about the security breach" |
| Obstacle | What blocks them? | "Gagik's calm deflection, her own conflicted feelings" |
| Value Shift | How does the scene end vs. start? | "Trust → Damaged trust (negative)" |
| Emotional Core | What is this scene ABOUT? | "Love warped by trauma is still love" |
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 · 219 lines · 45 tokens per session scan A 81e10002d530
outliner is a skill published in the GitHub repository reluctantfuturist/loyal-wingman (7 stars, last pushed 8mo ago), licensed MIT. It adds 45 tokens to every session and 1,670 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 2026-08-31.
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