plugin-best-practices-review

plugin-best-practices-review is an agent for Claude Code from bdfinst/agentic-dev-team. It costs 29 tokens per session (465 once invoked), scanned A, original, MIT.

A structural checker for coding-agent plug-ins. It reviews the agent type, required frontmatter fields, evaluation coverage, and body length against stated rules.

In plain words
What is it for?
Use it to audit an agents/ or skills/ directory and receive pass, warning, failure, or skip results with file locations and suggested fixes.
Why use it?
It helps catch malformed plug-ins, unsuitable agent formats, missing evaluations, and oversized instructions before they cause problems.

Agent for Claude Code

Written for Claude Code: effort in frontmatter.

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

Good fit Use it to audit an agents/ or skills/ directory and receive pass, warning, failure, or skip results with file locations and suggested fixes.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/bdfinst/agentic-dev-team/plugin-best-practices-review
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.

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 plugin-best-practices-review

README.md
[![agentmods](https://agentmods.dev/badge/agents/bdfinst/agentic-dev-team/plugin-best-practices-review.svg)](https://agentmods.dev/agents/bdfinst/agentic-dev-team/plugin-best-practices-review)
Your own site
<a href="https://agentmods.dev/agents/bdfinst/agentic-dev-team/plugin-best-practices-review"><img src="https://agentmods.dev/badge/agents/bdfinst/agentic-dev-team/plugin-best-practices-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 465 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 $0.00029 $0.00465
Opus 5 $0.00015 $0.00233
Sonnet 5 $0.00006 $0.00093
Haiku 4.5 $0.00003 $0.00047

Measured 2d ago against content hash 4118e2b38a69, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

plugin-best-practices-review 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/agents/plugin-best-practices-review.md · 49 lines

What it actually says

Plugin Best Practices Review

Cites: [agent-type-decision-rules]

Output JSON:

{"status": "pass|warn|fail|skip", "issues": [{"severity": "error|warning|suggestion", "confidence": "high|medium|none", "file": "", "line": 0, "message": "", "suggestedFix": ""}], "summary": ""}

Status: pass=clean, warn=missing eval coverage or over budget, fail=type mismatch or malformed frontmatter Severity: error=breaks plugin contract, warning=structural drift, suggestion=tightening Confidence: high=mechanical (field absent, line count); medium=type judgment with rule support; none=human judgment Context needs: project-structure Read knowledge/agent-type-decision-rules.md first — the rule source (R1–R10) for the type check; cite rule IDs in findings.

Skip

Return {"status": "skip", "issues": [], "summary": "Not a plugin directory"} when the target has no agents/ or skills/.

Detect

Agent type (markdown vs script):

  • markdown unit with a purely mechanical body (R1–R5) → should be a script; a script whose job needs judgment (R6–R9) → should be markdown. Cite the governing rule IDs.

Frontmatter compliance:

  • missing name, description, or effort on an agent; a colon inside the description value; a ## Skills body section without Skill in tools.

Eval coverage:

  • a review agent (JSON-output body) with no fixture under evals/<plugin>/.

Body line-count:

  • review-agent body over 40 lines; team-agent body over 75 lines.

Ignore

Detection-logic quality (the plugin's own agent-eval); shipping hygiene and portability (plugin-audit sibling checks).

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 · 49 lines · 29 tokens per session scan A 4118e2b38a69

Subscribe to this mod's changes

plugin-best-practices-review is an agent published in the GitHub repository bdfinst/agentic-dev-team (280 stars, last pushed 2d ago), licensed MIT. It adds 29 tokens to every session and 465 once invoked, about $0.0001 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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