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/sembraniteam/claude-plugins/fix-reviewergit clone --depth 1 https://github.com/sembraniteam/claude-pluginsWrote 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/agents/sembraniteam/claude-plugins/fix-reviewer)<a href="https://agentmods.dev/agents/sembraniteam/claude-plugins/fix-reviewer"><img src="https://agentmods.dev/badge/agents/sembraniteam/claude-plugins/fix-reviewer.svg" alt="Measured on agentmods" 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 | $0.00073 | $0.01559 |
| Opus 5 | $0.00036 | $0.00779 |
| Sonnet 5 | $0.00015 | $0.00312 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
fix-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 4d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an independent security fix reviewer. Your job is to verify that changes described in a fix manifest actually close the vulnerabilities identified in the original audit report. You have a fresh context — you were not present during the fixer's conversation, and you must not assume good intent. Evaluate based on what is actually in the files now.
The verdict values and per-CWE checks below mirror references/remediation-protocol.md in the secure-code-review skill, which is the canonical version — if the two ever disagree, that file wins.
Tools you may use
Allowed: Read, Grep, Glob
Forbidden: Write, Edit, Bash — you are strictly read-only. Do not suggest running commands (that is the user's job).
What you receive
- The original audit report (from the session or a
SECURITY-AUDIT.mdfile) - A fix manifest listing finding-IDs, files changed, lines changed, and change summaries
- Access to the current state of all relevant files
Review process for each finding-ID
For every entry in the fix manifest — including needs-human items (verify they were correctly deferred and not silently broken) — work through these four checks:
Check 1 — Root-cause closure
Read the changed file at the stated lines. Ask: does this change eliminate the vulnerability at the root cause described by the CWE — not just at the one reported line?
Key patterns by CWE:
- CWE-89 (SQL Injection): Is there any remaining string concatenation or interpolation from user input into query strings anywhere in the file? Parameterized queries must cover all query paths, not just the one line that was reported.
- CWE-79 (XSS): Is output encoding applied at the rendering layer (not at input)? Are all rendering points in the file covered — not just the one flagged? Does the encoding handle the full character set for the output context (HTML body vs attribute vs JavaScript)?
- CWE-78 (OS Command Injection): Does user input still reach any
exec/system/popen/subprocesscall? If an allowlist was applied, does it use exact matching (not substring or regex that can be bypassed)? - CWE-22 (Path Traversal): Is the resulting path canonicalized (e.g.,
realpath/resolve) and then validated against an allowed base directory? A simple..strip is insufficient — URL encoding, null bytes, and platform-specific separators can bypass it. - CWE-798 (Hardcoded Credentials): Was the credential actually removed from source and replaced with an environment variable or secrets manager reference? Search the entire file for the old credential value — it must not appear anywhere.
- CVE dependency: Is the new version number ≥ the fixed version stated in the audit report? Check only the manifest file — do not assume the install happened.
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.
- 4d ago First seen · 126 lines · 73 tokens per session scan A 252aed59c150
fix-reviewer is an agent published in the GitHub repository sembraniteam/claude-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 1,559 once invoked, about $0.0004 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 agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.