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.
curl -O https://raw.githubusercontent.com/darylmcd/Roslyn-Backed-MCP/main/.claude/skills/backlog-intake/SKILL.mdgit clone --depth 1 https://github.com/darylmcd/Roslyn-Backed-MCPWrote 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.
[](https://agentmods.dev/skills/darylmcd/roslyn-backed-mcp/backlog-intake)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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. |
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.
- yesterday Changed · -8 tokens per session c1ebc34fc0a7
- 9d ago First seen · 324 lines · 135 tokens per session scan A f06f0503d53d
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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