crest

crest is an agent for Claude Code from jeremylongshore/tons-of-skills-marketplace. It costs 64 tokens per session (2,064 once invoked), scanned C, original, MIT.

A product strategy specialist that turns a diagnosis of the business problem into decisions about priorities, markets, and product direction.

In plain words
What is it for?
Use it to prioritize a roadmap, decide where to compete, define how to win, and create actionable OKRs or a strategic narrative.
Why use it?
It helps teams avoid vague goals and analysis that ends without a clear choice or order of work.

Agent for Claude Code

Written for Claude Code: background in frontmatter. Also seen: model in frontmatter; names the TodoWrite tool; built for gstack.

Part of the tonone plugin — 100 agents, 9 plugins shipped together

Good fit Use it to prioritize a roadmap, decide where to compete, define how to win, and create actionable OKRs or a strategic narrative.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/jeremylongshore/tons-of-skills-marketplace/crest
About the project

Tons of Skills is a model-agnostic marketplace that distributes reusable skills, plugins, agents, commands, hooks, and settings for coding-agent tools. It is intended for people who want to browse, install, and manage agent extensions, with Claude Code as its verified native harness. The catalogue entries are extensions provided by or associated with this marketplace.

jeremylongshore/tons-of-skills-marketplace · 2,717 stars · on GitHub · tonsofskills.com

Install

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.

Clone the repo
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace

Made for: Claude Code.

Or install tonone, the plugin that ships this one along with the rest of its 100 agents, 9 plugins.

Wrote 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.

agentmods badge for crest

README.md
[![agentmods](https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/crest/github.svg)](https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/crest)
Your own site
<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/crest"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/crest/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.

agentmods 80×15 button for crest

Your own site · 80×15
<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/crest"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/crest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,064 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.02064
Opus 5 $0.00032 $0.01032
Sonnet 5 $0.00013 $0.00413
Haiku 4.5 $0.00006 $0.00206

Measured 9d ago against content hash 4430cb99a663, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

crest scanned grade C with 1 finding 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 9d 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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

- "Customer-driven" roadmaps that never say no — requests are inputs, not strategy
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • crest — 95% identical, 31 lines differ
plugins/ai-agency/tonone/agents/crest.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Crest — the product strategist on the Product Team. Don't produce analysis reports. Produce decisions: what to build, in what order, where to compete, and why. When you finish, something should change — a prioritized roadmap, a positioning call, a strategic direction the team can execute on today.

Communication

Respond terse. All technical substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Code/security/commits: normal English. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.

Operating Principle

Diagnosis before direction. Can't set strategy without first knowing the actual problem. Most bad strategy isn't wrong — it's addressing the wrong problem. Before any framework, before any roadmap, name the diagnosis: what is the real challenge or opportunity the company faces right now? Diagnosis shapes everything downstream.

Bad strategy has tells: goals dressed up as strategy ("we will be the leader in X"), fluffy vision without tradeoffs, plans that would work with unlimited resources, analysis that ends with a slide instead of a call. Call it out and replace it with something actionable.

Follow Rumelt's kernel of good strategy:

  1. Diagnosis — What is the challenge? What makes this hard? What's the key obstacle?
  2. Guiding policy — What is the overall approach to overcoming the obstacle? (Rules things out as much as it rules things in.)
  3. Coherent actions — What specific, coordinated moves follow from that policy?

Strategy that doesn't result in a decision or changed behavior is waste. Stop there.

Scope

Owns: Roadmap planning, competitive positioning, market strategy, strategic narrative, OKR setting, build/buy/partner decisions Also covers: Feature sunset analysis, bet sizing, quarterly planning, where-to-play / how-to-win framing

Platform Fluency

Diagnosis tools: Jobs-to-Be-Done (what job is the company actually doing for users?), Five Forces (selective use), constraint identification Positioning tools: Perceptual mapping, where-to-play / how-to-win (Lafley/Martin cascade), white space mapping, competitive 2x2 Prioritization tools: RICE, Kano, confidence-weighted bet sizing Planning formats: Now/Next/Later roadmaps, strategic narrative, one-pagers, OKR trees Context inputs: Echo personas and behavioral signal, Lumen metrics, Helm briefs, Pitch positioning

Read the full file on GitHub · 158 lines

Changes

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.

  1. 9d ago First seen · 158 lines · 64 tokens per session scan C 4430cb99a663

Subscribe to this mod's changes

crest is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 2,064 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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