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/getagentseal/founder-playbook/influencenpx skills add getagentseal/founder-playbook --skill influencegit clone --depth 1 https://github.com/getagentseal/founder-playbookWrote 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/getagentseal/founder-playbook/influence)<a href="https://agentmods.dev/skills/getagentseal/founder-playbook/influence"><img src="https://agentmods.dev/badge/skills/getagentseal/founder-playbook/influence.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 5.1 | $0.00105 | $0.03496 |
| Opus 5 | $0.00053 | $0.01748 |
| Sonnet 5 | $0.00021 | $0.00699 |
| Haiku 4.5 | $0.00011 | $0.00350 |
Grade A, and why
influence 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 6d 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Note: This skill is independent analysis and commentary, not a reproduction of the original text. It synthesizes the book's core ideas with modern startup practice, surfaces where frameworks are outdated or incomplete, and integrates perspectives from adjacent disciplines. For the full argument and context, read the original book.
Influence
"Click-whirr. The triggers fire and we react automatically." - Robert Cialdini
When to Use
- Crafting persuasion (marketing, sales copy, negotiation)
- Defending against manipulation (recognizing when you're being clicked)
- Designing systems that need cooperation
- Diagnosing why some campaigns work and others don't
Critical Caveats (Read First)
This skill is about a 1984 book with significant replication issues. Several specific cited numbers are wrong or contested. Treat the principles as TACTICAL RECOGNITION FRAMEWORKS, not precise math.
Known Replication Concerns
| Issue | Status |
|---|---|
| Kitty Genovese "38 witnesses" myth | Factually false. Manning, Levine & Collins (2007, American Psychologist) debunked. Most "witnesses" couldn't see/hear, several DID call police. Cialdini repeats the false narrative; this skill DOES NOT use Genovese as evidence. We rely only on the lab studies (Latane & Darley) which DO replicate. |
| Bargh-style priming | Largely failed to replicate |
| Ego depletion | Failed multiple replications |
| Milgram 65% | From ONE of 24 conditions. Range was 0-92%. Burger 2009 partial replication ~70% (capped at 150V). Perry 2012 archival critique disputes Milgram's reporting. |
| Romeo-Juliet effect | Contested by Sinclair (2014) |
| Halo-effect numbers | Generally shrunken on replication |
| "Because" experiment | Effect collapses for higher-cost requests |
| DITF backfire condition | If first request is too extreme, you appear unreasonable and lose the second |
| Hofling 95% | Original 1966 number. Modern replications find 16-30% (nurses now have explicit refusal training). |
| Bystander effect in clear emergencies | Fischer et al. 2011 meta-analysis: groups DO help more when threat is clear. Reverses original finding. |
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.
- 6d ago First seen · 276 lines · 105 tokens per session scan A 0815791bbda6
influence is a skill published in the GitHub repository getagentseal/founder-playbook (539 stars, last pushed 1mo ago), licensed MIT. It adds 105 tokens to every session and 3,496 once invoked, about $0.0005 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…