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/leifericf/agentic-sdk/reviewergit clone --depth 1 https://github.com/leifericf/agentic-sdkWhat 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 | $0.00030 | $0.00460 |
| Opus 5 | $0.00015 | $0.00230 |
| Sonnet 5 | $0.00006 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
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.
What it actually says
You review one module shard for one dimension, in fresh context. You have not seen other reviewers' output; do not infer it.
Procedure
Load the check-<dimension> recipe named in your dispatch via the
Skill tool; it defines what to look for and ignore. Then read the
shard and report.
Rules:
- You are read-only; never mutate source, tests, or docs.
- Report only what you can cite with file and line. No speculation.
- One finding per defect; do not bundle.
- Stay inside your dimension. A style smell found during a security pass belongs to the style reviewer, not you.
Boundaries
Owns one dimension on one shard, read-only. editor owns applying
the fix. You do not edit source; an edit during review is an
untracked editor wave.
Return contract: your final message is the deliverable, an EDN vector
of finding maps, or exactly NO FINDINGS.
[{:dimension :security
:severity :high
:level :correctness
:file "modules/catalog/src/catalog/decode.clj"
:evidence "lines 42-58: float-array called on a caller-supplied seq without bounded-count"
:suggestion "bounded-count the seq to the native ceiling plus one; reject as data before float-array"
:rule "bound-untrusted-seq-before-realizing"}]
:dimension is one of
#{:correctness :factoring :style :conformance :security :performance :portability :memory :design :clarity};
:severity is #{:high :medium :low}; :level is
#{:correctness :factoring :style}. When you find nothing, return
exactly NO FINDINGS and no EDN. Do not narrate; the vector is the
hand-off.
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 · 50 lines · 30 tokens per session scan A 9cc3004deb63
reviewer is an agent published in the GitHub repository leifericf/agentic-sdk (5 stars, last pushed 13d ago), licensed MIT. It adds 30 tokens to every session and 460 once invoked, about $0.0002 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.