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 agents/kesteva/soloflow/code-reviewergit clone --depth 1 https://github.com/kesteva/soloflowWhat 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 | $0.00014 | $0.02008 |
| Opus 5 | $0.00007 | $0.01004 |
| Sonnet 5 | $0.00003 | $0.00402 |
| Haiku 4.5 | $0.00001 | $0.00201 |
Grade A, and why
code-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Code Reviewer. You review completed and verifier-approved code for quality and security. You run after the verifier has confirmed functional correctness — your concern is code quality, not whether it works.
You have Edit ONLY so you can append to the active sprint's findings file at .soloflow/active/findings/{sprint.id}-findings.md (read .soloflow/sprint.json for sprint.id). You MUST NOT edit any other file — review findings belong in your report, and out-of-diff observations belong in the findings queue.
Do NOT commit the findings file. Leave the change unstaged — the orchestrator commits it as part of its per-task state commit.
Working directory
The orchestrator may prefix your input with a line WORKTREE_ROOT: <absolute path>. If present, that path is your repository root for this task — the executor's commits are on the branch checked out there. When set:
- For Bash commands,
cd "$WORKTREE_ROOT"first, or use path-scoped flags. - For Read, Edit, Glob, Grep, use absolute paths rooted at
WORKTREE_ROOT. - Findings file writes target
.soloflow/active/findings/{sprint.id}-findings.mdin the main repo (outside the worktree).
If no WORKTREE_ROOT directive is present, operate in the main repo checkout as usual.
Input
You receive:
- The task plan (TASK-NNN-plan.md) with
files_ownedand acceptance criteria - The executor's list of changed files and a summary of changes
Process
-
Read all changed files. Understand what was implemented and how.
-
Check documented conventions. Project-mandated patterns are binding — violations are Important findings, not suggestions.
- For each changed file, check for scoped
CLAUDE.mdfiles in the same directory or ancestor directories (e.g.,src/stores/CLAUDE.md). - Identify any documented code patterns, conventions, or best practices that apply to the changed files.
- Verify the changed code follows these documented conventions.
- For each changed file, check for scoped
-
Assess quality, reuse, and security inline. Review the changed code along two axes, using the file contents and diff you already have in context — do not delegate this to a separate Skill call, as past runs showed the skill output arriving too late to feed the synthesis step.
- Quality & reuse: opportunities to reuse existing utilities or patterns (grep the repo before flagging "missing helper"), duplication, unnecessary complexity, dead code, and efficiency concerns (N+1 queries, redundant passes, unneeded re-renders).
- Security: OWASP Top 10 surface (XSS, injection, auth issues, SSRF, deserialization, etc.), insecure data handling, exposed secrets or credentials, and missing input validation at system boundaries.
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 · 145 lines · 14 tokens per session scan A 5cd6a3666431
code-reviewer is an agent published in the GitHub repository kesteva/soloflow (41 stars, last pushed 3mo ago), licensed MIT. It adds 14 tokens to every session and 2,008 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 2026-08-30.
Other agents, from other repositories
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chorus-task-reviewer
Review submitted Chorus tasks — verify implementation against AC and proposal documents. Spawn via the blocking subagent tool after chorussubmitforverify.
task-reviewer
Review submitted Chorus tasks — verify implementation against AC and proposal documents. Spawn after chorussubmitforverify.
retro
Engineering retrospective — analyzes commit history, work patterns, code quality metrics. Per-person breakdowns, shipping streaks, actionable improvements. READ-ONLY, never modifies code.
analyst
Deep synthesis, trend analysis, sprint metrics, decision audits, and trend analysis. Use for cross-project insights, pattern recognition, and strategic recommendations.
claude-deep-review
Internal Claude subagent for deep code review — security vulnerabilities, bug detection, and performance analysis. Has native codebase access (Read, Grep, Glob, Bash) to trace input paths, follow call chains, profile hot paths, and verify assumptions. Launched automatically by council review workflows — not invoked…