Roslyn-Backed-MCP: Skill for Claude Code

.claude/skills/backlog-intake/SKILL.md

backlog-intake is a skill for Claude Code from darylmcd/Roslyn-Backed-MCP. It costs 127 tokens per session (6,720 once invoked), scanned A, original, MIT.

A workflow for turning audit and review documents into verified, organized rows in an AI documentation backlog. It removes duplicates, checks references to code, classifies priority, and sizes the work for planning.

In plain words
What is it for?
Use it after deep reviews or audits to stage their findings, verify anchors, deduplicate them, and prepare them for backlog planning.
Why use it?
It prevents raw review notes from being copied into the backlog without confirming their code references, priority, or size.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths; mentions subagents.

This is darylmcd/Roslyn-Backed-MCP's own configuration. It tells Claude Code how to work on Roslyn-Backed-MCP itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Roslyn-Backed-MCP configures →

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the roslyn-mcp plugin — 44 skills, 5 agents, 2 hooks, 2 MCP servers shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to darylmcd/Roslyn-Backed-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/darylmcd/Roslyn-Backed-MCP/main/.claude/skills/backlog-intake/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/darylmcd/Roslyn-Backed-MCP

Made for: Claude Code.

Or install roslyn-mcp, the plugin that ships this one along with the rest of its 44 skills, 5 agents, 2 hooks, 2 MCP servers.

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 backlog-intake

README.md
[![agentmods](https://agentmods.dev/badge/skills/darylmcd/roslyn-backed-mcp/backlog-intake/github.svg)](https://agentmods.dev/skills/darylmcd/roslyn-backed-mcp/backlog-intake)
Your own site
<a href="https://agentmods.dev/skills/darylmcd/roslyn-backed-mcp/backlog-intake"><img src="https://agentmods.dev/badge/skills/darylmcd/roslyn-backed-mcp/backlog-intake/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 backlog-intake

Your own site · 80×15
<a href="https://agentmods.dev/skills/darylmcd/roslyn-backed-mcp/backlog-intake"><img src="https://agentmods.dev/badge/skills/darylmcd/roslyn-backed-mcp/backlog-intake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,720 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 $0.00127 $0.06720
Opus 5 $0.00063 $0.03360
Sonnet 5 $0.00025 $0.01344
Haiku 4.5 $0.00013 $0.00672

Measured yesterday against content hash c1ebc34fc0a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

backlog-intake 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 yesterday.

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.

.claude/skills/backlog-intake/SKILL.md · 324 lines

How it starts

The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Backlog intake

You are triaging a batch of deep-review artifacts into ai_docs/backlog.md. Your job is to turn raw audit / retro / experimental-promotion markdown files into properly-sized, anchor-verified, de-duplicated, priority-ranked rows that /backlog-remediate can route without re-processing.

This skill replaces the eng/new-deep-review-batch.ps1 → sync-deep-review-backlog.ps1 pipeline. The PowerShell pipeline handled only *_mcp-server-audit.md, did literal-text dedupe, and couldn't verify anchors or size rows to Rule 1/3/4. The judgment work belongs in an LLM; the mechanical file-staging is delegated to eng/stage-review-inbox.ps1.

Server discovery

This skill edits repository files, shells out to pwsh / gh / git, and uses Roslyn MCP read-only tools (symbol_search, find_references, get_source_text) to verify anchors. No *_apply / *_preview writers. If you find yourself calling a writer, you are in the wrong skill — stop and hand back.

Input

$ARGUMENTS is optional. Supported flags:

Flag Effect
--stage Explicit staging pass: always run eng/stage-review-inbox.ps1 before triage, even if review-inbox/ already has files.
--skip-stage Skip staging entirely — triage whatever is already in review-inbox/.
--skip-verify Skip the "already shipped?" cross-check against CHANGELOG + recent plans. Faster but riskier.
--no-commit Write the updated ai_docs/backlog.md but do not create a branch or commit.
--sibling-parent <path> Override the sibling-repo scan root (forwarded to the PS1).
--publish After the batch is finalized, file each accepted row as a public GitHub Issue at darylmcd/Roslyn-Backed-MCP via gh issue create. Uses the shared renderer skills/mcp-server-surface-test/lib/render-finding.ps1 so the public Issue body is byte-identical to what /mcp-server-surface-test --auto-file emits. Refuses to file rows whose severity == P0 or area == security — those print to stdout with the security-advisory escalation banner instead. Requires gh on PATH and gh auth status reporting authenticated; falls back to stdout-print with a warning otherwise.

Read the full file on GitHub · 324 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. yesterday Changed · -8 tokens per session c1ebc34fc0a7
  2. 9d ago First seen · 324 lines · 135 tokens per session scan A f06f0503d53d

Subscribe to this mod's changes

backlog-intake is a skill published in the GitHub repository darylmcd/Roslyn-Backed-MCP (1 stars, last pushed yesterday), licensed MIT. It adds 127 tokens to every session and 6,720 once invoked, about $0.0006 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 2026-08-31.

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