Borrowing it
Nothing to install: this file belongs to lbruton/claude-context. 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/lbruton/claude-context/master/.agents/skills/pr-resolve/SKILL.mdgit clone --depth 1 https://github.com/lbruton/claude-contextWrote 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/lbruton/claude-context/pr-resolve)<a href="https://agentmods.dev/skills/lbruton/claude-context/pr-resolve"><img src="https://agentmods.dev/badge/skills/lbruton/claude-context/pr-resolve/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/lbruton/claude-context/pr-resolve"><img src="https://agentmods.dev/badge/skills/lbruton/claude-context/pr-resolve.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 | $0.00025 | $0.04745 |
| Opus 5.5 | $0.00010 | $0.01898 |
| Sonnet 5.5 | $0.00005 | $0.00949 |
| Haiku 4.5 | $0.00003 | $0.00475 |
Grade B, and why
pr-resolve scanned grade B 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 5d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat .claude/project.json 2>/dev/null || echo '{}' How it starts
The opening of the file, as written. The whole thing — 396 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Resolve
Review, reply to, and resolve all PR review comments and CI check failures.
Orchestration model: Dispatch pr-discover agent for data gathering (returns clustered findings), triage clusters in main context with user approval, dispatch one pr-thread-resolver agent per cluster in parallel.
Arguments
<PR number>— resolve comments on a specific PR (e.g.,/pr-resolve 136)- No argument — auto-detect the open PR for the current branch
Phase 0+1: Discover (delegated to agent)
Step 1: Identify PR and verify owner
Get owner/repo from the git remote, then verify owner is lbruton before proceeding:
# Get owner and repo from git remote
git remote get-url origin | sed 's/.*github.com[:/]\(.*\)\.git/\1/' | awk -F/ '{print "owner="$1, "repo="$2}'
git rev-parse --show-toplevel
cat .claude/project.json 2>/dev/null || echo '{}'
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.
- 5d ago Changed 19b671c18017
- 9d ago Changed 3245f22c818b
- 11d ago First seen · 396 lines · 25 tokens per session scan B e9f720dfb84a
pr-resolve is a skill published in the GitHub repository lbruton/claude-context (2 stars, last pushed 5d ago), licensed MIT. It adds 25 tokens to every session and 4,745 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-17.
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Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
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Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…