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.
npx agentmods add skills/spxrogers/agentsync/review-loopnpx skills add spxrogers/agentsync --skill review-loopgit clone --depth 1 https://github.com/spxrogers/agentsyncWhat 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 | $0.00199 | $0.06187 |
| Opus 5 | $0.00100 | $0.03093 |
| Sonnet 5 | $0.00040 | $0.01237 |
| Haiku 4.5 | $0.00020 | $0.00619 |
Grade A, and why
review-loop 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.
How it starts
The opening of the file, as written. The whole thing — 546 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review loop
A four-lens adversarial review pattern, iterated until the team converges or a budgeted number of rounds elapses. Use it when the user wants the bar set high on both correctness and polish — substantive PRs where a single review pass would miss the second-order issues four lenses catch independently.
Loop logic:
for round in 1..N: # N defaults to 5
launch 4 READ-ONLY agents IN PARALLEL: correctness, adversarial, api-design, test-rigor
wait for all 4 to report # they report; they never edit
synthesize findings (convergent vs single-reviewer; rank by severity)
if every reviewer says "CLEAN — ship it":
stop # full convergence
if every finding this round is NIT severity (no BLOCKER/ISSUE anywhere):
ask the user: stop here, or spend one more round? # see Step 5
if severity has trended down for 2 rounds straight and neither stop
condition above has fired: ask the user ONCE — stop, or continue to budget?
audit each finding yourself # reviewers are wrong sometimes
fix every accepted finding # MAIN SESSION ONLY — see below
commit + push
end
report final status
The single-writer rule — non-negotiable
The four reviewers are READ-ONLY. The main session is the only process that edits the worktree. Reviewers produce reports; the main session audits them, decides what to accept, and makes every change itself.
This is not a style preference. Four agents editing one worktree in parallel corrupts it, and the failure modes are quiet:
- A reviewer leaves a probe file behind (
zz_probe_test.go), and the package stops compiling for everyone — including the next round's reviewers, who then report a "build failure" that is really litter. - A reviewer break-verifies by mutating a source file and doesn't restore it. The
mutation is now indistinguishable from the main session's in-flight work. In one
real run a reviewer's stream-swap sat in
root.golong enough that it was nearly committed; it was caught only because a test written minutes later happened to fail on it. - A reviewer notices another reviewer's litter and helpfully runs
git checkout -- <file>to clean up. That silently discarded the main session's uncommitted fix to the same file, which surfaced later as an unexplained build break.
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.
- 2d ago First seen · 546 lines · 199 tokens per session scan A 6fe35b10ad16
review-loop is a skill published in the GitHub repository spxrogers/agentsync (9 stars, last pushed 1mo ago), licensed MIT. It adds 199 tokens to every session and 6,187 once invoked, about $0.0010 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.
Other skills, from other repositories
AI SDK Documentation
This skill should be used when working with Vercel AI SDK, AI Gateway, streamText, generateText, generateObject, streamObject, tool calling, or AI SDK providers. Also relevant for "ai-sdk", "@ai-sdk/" packages, or questions about AI SDK patterns, configuration, and best practices.
nvim-install
Install Neovim and stand up the nvim-fredrik config in the Claude Code web sandbox (the cloud environment), where no Neovim exists. Use this before testing any Neovim config change in a web session, e.g. checking out a PR branch that touches nvim-fredrik and observing its runtime behavior. Installs Neovim via Nix from…
refine-plan
Iteratively refine development plans using TDD methodology. Ensures plans are clear, actionable, and include red-green-refactor cycles with proper test coverage.
todoist-cli
Manage Todoist tasks, projects, labels, filters, sections, comments, reminders, and workspaces via the td CLI. Use when the user wants to view, create, update, complete, or organize Todoist items, or mentions tasks, inbox, today, upcoming, projects, labels, or filters.
qa-triage-batch
Fan out /qa-triage across a queue of qa-labeled reports in parallel, reconcile them across reports to cluster shared root causes, present one consolidated decision gate, and — on approval — create the resulting tech issues.
value-prop-that-converts
Write a developer value proposition that is specific, provable, and free of puffery. Use when the messaging leans on "powerful," "better," "seamless," or "best-in-class," when claims have no proof, or when the same line is supposed to reach both the developer and the buyer.