gsd-surface

gsd-surface is a skill for Claude Code from megamen32/LastHumanCommit. It costs 23 tokens per session (2,011 once invoked), scanned A, a copy of gsd-docs-update, MIT.

A settings tool for choosing which coding-agent skills are shown, including applying profiles, listing skills, or disabling groups.

In plain words
What is it for?
Managing the visible set of agent skills and enabling or disabling skill groups.
Why use it?
It reduces clutter by keeping irrelevant skills out of the available set without reinstalling them.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; names the AskUserQuestion tool; mentions Claude Code.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is RUNTIME_CONFIG_DIR=../../skills.

Part of the gsd plugin — 67 skills, 33 agents shipped together

Good fit Managing the visible set of agent skills and enabling or disabling skill groups.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/megamen32/LastHumanCommit
agentmods
npx agentmods add skills/megamen32/lasthumancommit/gsd-surface

Made for: Claude Code.

Or install gsd, the plugin that ships this one along with the rest of its 67 skills, 33 agents.

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 gsd-surface

README.md
[![agentmods](https://agentmods.dev/badge/skills/megamen32/lasthumancommit/gsd-surface/github.svg)](https://agentmods.dev/skills/megamen32/lasthumancommit/gsd-surface)
Your own site
<a href="https://agentmods.dev/skills/megamen32/lasthumancommit/gsd-surface"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/gsd-surface/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 gsd-surface

Your own site · 80×15
<a href="https://agentmods.dev/skills/megamen32/lasthumancommit/gsd-surface"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/gsd-surface.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,011 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 91% copy Near-identical to another mod 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 $0.00023 $0.02011
Opus 5 $0.00012 $0.01006
Sonnet 5 $0.00005 $0.00402
Haiku 4.5 $0.00002 $0.00201

Measured today against content hash 32d63c212d17, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gsd-surface 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 today.

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.

Origin

This is a copy

91% identical to gsd-docs-update — 146 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/gsd/skills/gsd-surface/SKILL.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<gsd_agent_plugin_adapter> This GSD distribution is loaded from an Agent Plugin rather than a fixed runtime home.

  • Resolve GSD_PLUGIN_ROOT as the absolute directory two levels above this SKILL.md.
  • Resolve every @../../... execution-context reference relative to this skill directory.
  • Before running a workflow shell command, replace gsd-sdk with node "$GSD_PLUGIN_ROOT/bin/gsd-sdk.js" and turn any ../../get-shit-done/... command path into an absolute path below $GSD_PLUGIN_ROOT.
  • Named GSD agent prompts live in $GSD_PLUGIN_ROOT/agents/. If the runtime has no matching registered agent type, spawn an available generic worker/default agent and include the corresponding agents/<name>.md prompt in its task message. </gsd_agent_plugin_adapter>

<codex_skill_adapter>

A. Skill Invocation

  • This skill is invoked by mentioning $gsd-surface.
  • Treat all user text after $gsd-surface as {{GSD_ARGS}}.
  • If no arguments are present, treat {{GSD_ARGS}} as empty.

B. AskUserQuestion → request_user_input Mapping

GSD workflows use AskUserQuestion (Claude Code syntax). Translate to Codex request_user_input:

Parameter mapping:

  • headerheader
  • questionquestion
  • Options formatted as "Label" — description{label: "Label", description: "description"}
  • Generate id from header: lowercase, replace spaces with underscores

Batched calls:

  • AskUserQuestion([q1, q2]) → single request_user_input with multiple entries in questions[]

Multi-select workaround:

  • Codex has no multiSelect. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.

Execute mode fallback:

  • When request_user_input is rejected or unavailable, you MUST stop and present the questions as a plain-text numbered list, then wait for the user's reply. Do NOT pick a default and continue (#3018).
  • You may only proceed without a user answer when one of these is true: (a) the invocation included an explicit non-interactive flag (--auto or --all), (b) the user has explicitly approved a specific default for this question, or (c) the workflow's documented contract says defaults are safe (e.g. autonomous lifecycle paths).
  • Do NOT write workflow artifacts (CONTEXT.md, DISCUSSION-LOG.md, PLAN.md, checkpoint files) until the user has answered the plain-text questions or one of (a)-(c) above applies. Surfacing the questions and waiting is the correct response — silently defaulting and writing artifacts is the #3018 failure mode.

Read the full file on GitHub · 200 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. today First seen · 200 lines · 23 tokens per session scan A 32d63c212d17

Subscribe to this mod's changes

gsd-surface is a skill published in the GitHub repository megamen32/LastHumanCommit (2 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 2,011 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to gsd-docs-update, differing in 146 lines, and is treated as a copy.

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