init-plugin-eval

init-plugin-eval is a skill for Claude Code from bdfinst/agentic-dev-team. It costs 85 tokens per session (909 once invoked), scanned A, original, MIT.

A scaffold generator for creating the folders and starter files used to evaluate a plugin's review agents and skills. It leaves the evaluation cases empty until you add them.

In plain words
What is it for?
Creating an eval directory with fixture and expected-result folders plus a README for a new plugin.
Why use it?
It gives evaluations a consistent place outside the shipped plugin and avoids treating missing test cases as failures.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Part of the marketplace-dev plugin — 10 skills, 1 agent shipped together

Good fit Creating an eval directory with fixture and expected-result folders plus a README for a new plugin.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bdfinst/agentic-dev-team/init-plugin-eval
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 bdfinst/agentic-dev-team --skill init-plugin-eval
Clone the repo
git clone --depth 1 https://github.com/bdfinst/agentic-dev-team

Made for: Claude Code.

Or install marketplace-dev, the plugin that ships this one along with the rest of its 10 skills, 1 agent.

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 init-plugin-eval

README.md
[![agentmods](https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/init-plugin-eval.svg)](https://agentmods.dev/skills/bdfinst/agentic-dev-team/init-plugin-eval)
Your own site
<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/init-plugin-eval"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/init-plugin-eval.svg" alt="Measured on agentmods" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 909 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 pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.00909
Opus 5 $0.00043 $0.00454
Sonnet 5 $0.00017 $0.00182
Haiku 4.5 $0.00009 $0.00091

Measured 2d ago against content hash 26ef83a718c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

init-plugin-eval 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 2d 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.

plugins/marketplace-dev/skills/init-plugin-eval/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Init Plugin Eval

Role: implementation. Create the eval scaffold so a plugin's review agents and advisory skills can be graded — without shipping any of it inside the plugin.

Constraints

  1. Evals never ship. The eval tree lives at the repo root under evals/<plugin>/, never under plugins/<plugin>/. Build/test tooling inside a plugin dir is a shipping bug.
  2. Stub, don't fake. Scaffold empty fixtures/ and expected/ dirs and a README. Do not invent fixtures — an empty scaffold must grade as "no fixtures", a clean no-op, not an error.
  3. Never overwrite. If evals/<plugin>/ exists, report and stop.

Step 1 — Parse

  • NAME = $0 (the plugin name, matching its plugin.json name).
  • DIR = --dir value, else evals/<NAME>.
  • If DIR exists → report and stop.

Step 2 — Create the structure

mkdir -p "$DIR/fixtures" "$DIR/expected"
for d in fixtures expected; do : > "$DIR/$d/.gitkeep"; done
  • fixtures/ — input artifacts an agent/skill runs against (sample agent files, plugin dirs, prose use-cases).
  • expected/ — one <fixture-stem>.json per fixture declaring the expected grading (which agent/skill it targets and the pass condition).

Step 3 — Write the grading-contract README

$DIR/README.md documents the contract a grader enforces:

# Eval corpus — <NAME>

Fixtures (`fixtures/`) and their expected gradings (`expected/*.json`) for the
<NAME> plugin's review agents and advisory skills.

## Grading contract

Each `expected/<stem>.json` pairs with a `fixtures/<stem>.*` input and declares:

- `fixture` — the fixture file/dir this grades.
- `description` — what the fixture exercises.
- `applicableAgents` / `applicableSkills` — the unit(s) under test.
- For a **review agent**: `expectedStatus` (`pass|warn|fail|skip`),
  `issueCount` ({min,max}), and `severities` bounds.
- For an **advisory skill**: the expected `recommendation`/fields and the
  rule citations or gates the output must contain.

A grader pairs every `expected/*.json` with a fixture and checks the actual
output falls within the declared bounds. An **empty corpus grades as
"no fixtures"** — a clean no-op, never an error.

Read the full file on GitHub · 93 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. 2d ago First seen · 93 lines · 85 tokens per session scan A 26ef83a718c4

Subscribe to this mod's changes

init-plugin-eval is a skill published in the GitHub repository bdfinst/agentic-dev-team (280 stars, last pushed 2d ago), licensed MIT. It adds 85 tokens to every session and 909 once invoked, about $0.0004 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 2026-09-05.

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