gspdev-eval-changes

gspdev-eval-changes is a skill for Claude Code from jubscodes/get-shit-pretty. It costs 86 tokens per session (3,180 once invoked), scanned C, original, MIT.

A review process for substantial changes to GSP instructions, coding agents, or their working methods. It uses several evaluator agents and a fixed eight-part checklist to assess intent, consistency, and preserved behavior.

In plain words
What is it for?
Use it after adding, editing, reorganizing, shortening, or rewriting files under GSP's skills or agents directories. It reviews whether the change achieves its goal and keeps the surrounding contracts intact.
Why use it?
It helps catch changes that technically work but make an instruction unclear, contradict its stated purpose, or remove behavior other parts depend on.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Good fit Use it after adding, editing, reorganizing, shortening, or rewriting files under GSP's skills or agents directories. It reviews whether the change achieves its goal and keeps the surrounding contracts intact.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jubscodes/get-shit-pretty/gspdev-eval-changes
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 jubscodes/get-shit-pretty --skill gspdev-eval-changes
Clone the repo
git clone --depth 1 https://github.com/jubscodes/get-shit-pretty

Made for: Claude Code.

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 gspdev-eval-changes

README.md
[![agentmods](https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gspdev-eval-changes/github.svg)](https://agentmods.dev/skills/jubscodes/get-shit-pretty/gspdev-eval-changes)
Your own site
<a href="https://agentmods.dev/skills/jubscodes/get-shit-pretty/gspdev-eval-changes"><img src="https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gspdev-eval-changes/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 gspdev-eval-changes

Your own site · 80×15
<a href="https://agentmods.dev/skills/jubscodes/get-shit-pretty/gspdev-eval-changes"><img src="https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gspdev-eval-changes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,180 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 $0.00086 $0.03180
Opus 5.5 $0.00034 $0.01272
Sonnet 5.5 $0.00017 $0.00636
Haiku 4.5 $0.00009 $0.00318

Measured 1mo ago against content hash 7046b91d61df, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

gspdev-eval-changes 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 1mo 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf "$TMPDIR"
dev/skills/gspdev-eval-changes/SKILL.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

  1. Change intent achieved? Did the PR/commit land what it set out to do?
  2. Skill intent coherent? Does the skill body deliver on its description? (Catches drift between SKILL.md frontmatter description: and the body — a separate failure mode from the change-intent question.)
  3. Substance preserved or improved? For modifications: did the change avoid sacrificing what the agent needs? For additions: does the new content fit the skill's existing contracts (constraints, output specs, quality bars)?

Examples of changes this covers:

  • Adding a new step to a methodology
  • Adding a new sibling reference file
  • Modifying a rule, constraint, or rubric
  • Changing the agent's role or execution mode
  • Trimming verbose prose
  • Extracting content to siblings
  • Renaming inputs/outputs
  • Adding a new SKILL.md (skill intent check from scratch)

A change that achieves its goal (Dim 1 = PASS) can still drift the skill away from its stated purpose (Dim 2 = FAIL) if it adds behavior the description doesn't reflect, or removes a step the description promised. A coherent intent + description (Dims 1-2 = PASS) can still break an output spec (Dim 6 = FAIL). All three gates matter.

Spawns one general-purpose evaluator agent per modified file in parallel. Each evaluator compares BEFORE (if any) and AFTER against the parent SKILL.md using a fixed 8-dimension rubric, returns PASS / CONCERNS / FAIL with quoted findings and surgical recommendations.

Different from siblings:

  • /gspdev-audit — static checks across the whole repo (contracts, installer, version sync). Read-only, no eval.
  • /gspdev-housekeeping — drift detection (count mismatches, stale references). Mechanical.
  • /gspdev-prompt-audit — semantic analysis of all skill prompts (dead weight, contradictions). Whole-repo, slow.

This skill is targeted: it evaluates the quality of a specific change before it merges.

Input: Optional commit range (default: main..HEAD + uncommitted) Output: Aggregated verdict table + per-file findings; optional inline restoration of CONCERNS-flagged content Agent: general-purpose (one per evaluated file, dispatched in parallel)

Step 0: Resolve scope

Determine which files to evaluate:

  1. If $ARGUMENTS contains a commit range (e.g., main..HEAD, HEAD~3..HEAD, feature-branch..main), use it directly
  2. Otherwise default to main..HEAD plus uncommitted working-tree changes
RANGE="${ARGUMENTS:-main..HEAD}"

# Committed changes in range
COMMITTED=$(git diff --name-only "$RANGE" 2>/dev/null | grep -E '^(gsp|dev)/(skills|agents)/.*\.md$' || true)

# Uncommitted working-tree changes
UNCOMMITTED=$(git diff --name-only HEAD 2>/dev/null | grep -E '^(gsp|dev)/(skills|agents)/.*\.md$' || true)

# Combine, dedupe
FILES=$(printf "%s\n%s\n" "$COMMITTED" "$UNCOMMITTED" | sort -u | grep -v '^$')

Read the full file on GitHub · 283 lines

Files

What ships with it

1 file 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.

  1. 1mo ago First seen · 283 lines · 86 tokens per session scan C 7046b91d61df

Subscribe to this mod's changes

gspdev-eval-changes is a skill published in the GitHub repository jubscodes/get-shit-pretty (55 stars, last pushed 4mo ago), licensed MIT. It adds 86 tokens to every session and 3,180 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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