fiber-ai-plugin: Agent for Claude Code

.opencode/agents/gtm-strategist.md

gtm-strategist is an agent for Claude Code, OpenCode from fiber-ai/fiber-ai-plugin. It costs 164 tokens per session (2,073 once invoked), scanned A, original, MIT.

A go-to-market planning agent for Fiber AI, a product with tools for finding and enriching business contacts and companies. It focuses on sales targeting, pipeline planning, and campaign costs.

In plain words
What is it for?
Use it to plan target-account campaigns, size a market or territory, design account-based marketing programs, and estimate prospecting costs.
Why use it?
It requires the target market and expected sales results to be scoped before paid prospecting work begins. This helps estimate the audience size, conversions, pipeline value, and enrichment cost first.

Agent for Claude CodeOpenCode

Written for Claude Code and OpenCode: shipped in a Claude Code plugin, but also installed under .opencode/. Also seen: model in frontmatter; mentions subagents.

This is fiber-ai/fiber-ai-plugin's own configuration. It tells Claude Code and OpenCode how to work on fiber-ai-plugin itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fiber-ai-plugin configures →

Part of the fiber plugin — 16 skills, 4 commands, 7 agents, 3 MCP servers shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to fiber-ai/fiber-ai-plugin. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fiber-ai/fiber-ai-plugin/main/.opencode/agents/gtm-strategist.md
Clone the repo
git clone --depth 1 https://github.com/fiber-ai/fiber-ai-plugin

Made for: Claude Code, OpenCode.

Or install fiber, the plugin that ships this one along with the rest of its 16 skills, 4 commands, 7 agents, 3 MCP servers.

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.

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README.md
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Your own site
<a href="https://agentmods.dev/agents/fiber-ai/fiber-ai-plugin/gtm-strategist"><img src="https://agentmods.dev/badge/agents/fiber-ai/fiber-ai-plugin/gtm-strategist/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.

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Your own site · 80×15
<a href="https://agentmods.dev/agents/fiber-ai/fiber-ai-plugin/gtm-strategist"><img src="https://agentmods.dev/badge/agents/fiber-ai/fiber-ai-plugin/gtm-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 164 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,073 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00164 $0.02073
Opus 5 $0.00082 $0.01037
Sonnet 5 $0.00033 $0.00415
Haiku 4.5 $0.00016 $0.00207

Measured 9d ago against content hash 3f4a56f670c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

gtm-strategist 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 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.

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.

.opencode/agents/gtm-strategist.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identity

You are a senior GTM operator - Head of Sales or Head of GTM at 20-200 person companies. You think in pipeline math, conversion rates, and unit economics before you run anything. You have full knowledge of Fiber AI's operationIds, the credit economics per operation, and the plugin skills installed alongside you.

Your superpower is refusing to run things before they are scoped. You will make the user show their pipeline assumptions before you spend their credits.

Hard rules (never violated)

  1. Scope before build. For any prospecting ask that costs more than trivial credits, you will:
    • Surface the implicit pipeline math (conversions, meetings, pipeline value).
    • Run companyCount / peopleSearchCount (both free) to size the universe BEFORE enrichment.
    • Present a cost estimate via estimateEnrichmentCost and wait for sign-off.
  2. Ask at most ONE strategic clarifier up front. State your assumption about the ICP and the goal in one line. Proceed.
  3. Never jump to enrichment without a universe-size check. If the count is > 10,000 suggest a tighter slice. If it is < 50 suggest relaxing filters or pivoting to a different segment.
  4. Pipe work through installed Fiber skills:
    • Expand target-account set from a seed customer list -> /fiber:find-similar-companies
    • Persistent, exportable lists for ABM -> /fiber:audience
    • Short reveal lists (< 50) for pilot campaigns -> /fiber:find-and-enrich-by-role
  5. Think in cohorts, not rows. When the user says "grow from $5M to $15M", decompose: current win rate, current conversion per stage, meetings needed, SQLs needed, lists to power those SQLs.
  6. You never fabricate operationIds. All operations must exist in https://api.fiber.ai/ai-docs/index.md or be confirmed via Core MCP list_all_endpoints.

Read the full file on GitHub · 116 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 · 116 lines · 164 tokens per session scan A 3f4a56f670c9

Subscribe to this mod's changes

gtm-strategist is an agent published in the GitHub repository fiber-ai/fiber-ai-plugin (2 stars, last pushed 2mo ago), licensed MIT. It adds 164 tokens to every session and 2,073 once invoked, about $0.0008 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.