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/florianbruniaux/claude-code-plugins/stage-4-positionnpx skills add FlorianBruniaux/claude-code-plugins --skill stage-4-positiongit clone --depth 1 https://github.com/FlorianBruniaux/claude-code-pluginsWrote 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/florianbruniaux/claude-code-plugins/stage-4-position)<a href="https://agentmods.dev/skills/florianbruniaux/claude-code-plugins/stage-4-position"><img src="https://agentmods.dev/badge/skills/florianbruniaux/claude-code-plugins/stage-4-position.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 | $0.00067 | $0.01599 |
| Opus 5 | $0.00034 | $0.00800 |
| Sonnet 5 | $0.00013 | $0.00320 |
| Haiku 4.5 | $0.00007 | $0.00160 |
Grade A, and why
talk-stage4-position 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 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.
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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Talk Stage 4: Position + CHECKPOINT
Generates strategic angles, titles, descriptions, and a peer-feedback draft. Then stops and waits for your angle + title choice before Stage 5 can proceed.
When to Use This Skill
- After Stage 3 (Concepts), which provides the concept catalogue
- When deciding how to frame the talk
- Before sending the CFP (uses the generated descriptions directly)
What This Skill Does
- Reads inputs: summary + concepts + event constraints
- Generates angles: 3-4 distinct angles with strength/weakness analysis
- Recommends: one clear choice with structured justification
- Generates titles: 3-5 options per angle
- Generates descriptions: short abstract + long CFP description
- Generates feedback draft: ready-to-send message (3 formats)
- CHECKPOINT: displays choice request and waits for user response
- Saves 4 files
Input
talks/{YYYY}-{slug}-summary.md(required)talks/{YYYY}-{slug}-concepts.md(required)- Event constraints: duration, audience, CFP format if applicable
Output
talks/{YYYY}-{slug}-angles.mdtalks/{YYYY}-{slug}-titre.mdtalks/{YYYY}-{slug}-descriptions.mdtalks/{YYYY}-{slug}-feedback-draft.md
angles.md Format
# Talk Angles: {provisional title}
**Goal**: Choose the angle that maximizes impact for {audience}.
**Audience**: {audience description}
---
## Angle 1: {Angle name}
**Pitch**: {2-3 sentences describing the talk from this angle}
**Strengths**:
- {strength 1}
- {strength 2}
**Weaknesses**:
- {weakness 1}
- {weakness 2}
**Audience fit**: Strong / Medium / Weak ({short justification})
**Verdict**: (out of 5 stars)
---
[Angle 2, Angle 3, (optional Angle 4): same structure]
---
## Recommendation: Angle {X}, enriched by the others
**Angle {X} is the right choice.** Here's why:
### 1. It's the only angle that integrates the others
[Structure showing how other angles feed into the main one]
### 2. The narrative arc is natural and compelling
[Why the story holds better with this angle]
### 3. The metrics lend credibility throughout
[Which metrics support this angle most]
### 4. The final message emerges naturally
[How the conclusion flows from this angle]
---
## Recommended structure with sub-angles
| Act | Duration | Main angle | Integrated sub-angle |
|-----|----------|-----------|---------------------|
| 1. {name} | {n} min | {main angle} | {sub-angle} |
...
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 · 242 lines · 67 tokens per session scan A 7b0bbe317fa2
talk-stage4-position is a skill published in the GitHub repository FlorianBruniaux/claude-code-plugins (40 stars, last pushed 2d ago), licensed MIT. It adds 67 tokens to every session and 1,599 once invoked, about $0.0003 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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