A workflow that helps a student build public evidence of go-to-market work while learning or using a coding agent. Go-to-market work means finding customers, promoting a product, and creating opportunities for it.

Use it to set up a student workspace, plan weekly projects, record the work, publish updates, maintain a portfolio, and deliver a campus client project.

Students and career switchers may have skills but no public work or professional experience to show employers. A repeating weekly project creates a visible record instead of relying on one impressive project.

student-gtm — Skill for Claude Code and Codex by shawnla90

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.

Any agent

npx skills add shawnla90/gtm-coding-agent --skill student-gtm

Clone the repo

git clone --depth 1 https://github.com/shawnla90/gtm-coding-agent

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/shawnla90/gtm-coding-agent/student-gtm/github.svg)](https://agentmods.dev/skills/shawnla90/gtm-coding-agent/student-gtm)

Your own site

<a href="https://agentmods.dev/skills/shawnla90/gtm-coding-agent/student-gtm"><img src="https://agentmods.dev/badge/skills/shawnla90/gtm-coding-agent/student-gtm/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/shawnla90/gtm-coding-agent/student-gtm"><img src="https://agentmods.dev/badge/skills/shawnla90/gtm-coding-agent/student-gtm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,874 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 169
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00106	$0.03874
Opus 5.5	$0.00042	$0.01550
Sonnet 5.5	$0.00021	$0.00775
Haiku 4.5	$0.00011	$0.00387

Measured 1mo ago against content hash fe5d2bf28487, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

student-gtm 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (setup.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

starters/student-gtm/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

student-gtm: a public track record before you have the title

Interview → the student's own repo → one weekly project → one recording of the whole build that feeds a video, clips, and a voice profile → commits and posts → one delivered campus client → inbound.

Read alongside Chapter 21, which is the reasoning behind every step here, and modes/student.md, which is the mode this starter runs: the free stack, what to skip, and the chapter order. This file is the operating manual for the runnable pack; those two are the why and the semester plan.

When to invoke

A student (or a career switcher with the same starting conditions) has a coding agent running and wants a GTM job, and has nothing public to point at yet.
Someone asks what to build to get hired, and the honest answer is a repeating weekly loop rather than one impressive project.
An existing student workspace needs its next week planned, its gotchas entry written, or its portfolio index rebuilt.

Do NOT invoke for terminal, git, or first-agent-setup teaching. That is first-boot, and this skill assumes it is done. Also do not invoke for a funded company's GTM build, a client engagement, or any workspace that already has a paid data stack.

Layout

The pack itself:

starters/student-gtm/
  SKILL.md                       # this file, the operating manual
  README.md                      # the human front door
  setup.py                       # the interview + scaffolder (writes OUTSIDE this repo)
  requirements.txt               # one package, for the optional signal steps only
  .gitignore
  workspace.example/             # the tree below, filled in for the example student
  config/
    subreddits.txt               # the rooms the future employer complains in
    keywords.txt                 # the phrases that mean somebody has the problem
  build-in-public/
    weekly-loop.md               # the recurring week, written down
    post-templates.md            # gotchas post, weekly build post, answer-a-question reply
  campus/
    offer.md                     # the one-page offer for a campus org or local business
    outreach.md                  # how to ask, and what to send after they say yes

Read the full file on GitHub · 177 lines

Files

What ships with it

25 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.

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.

1mo ago First seen · 177 lines · 106 tokens per session scan A fe5d2bf28487

Subscribe to this mod's changes

student-gtm is a skill published in the GitHub repository shawnla90/gtm-coding-agent (157 stars, last pushed 5d ago), licensed MIT. It adds 106 tokens to every session and 3,874 once invoked, about $0.0004 per session on Opus 5.5. 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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