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.
git clone --depth 1 https://github.com/w00fx/spec-anchored-agentic-developmentWrote 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/w00fx/spec-anchored-agentic-development/general-code-reviewer)<a href="https://agentmods.dev/agents/w00fx/spec-anchored-agentic-development/general-code-reviewer"><img src="https://agentmods.dev/badge/agents/w00fx/spec-anchored-agentic-development/general-code-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 5.1 | $0.00067 | $0.01418 |
| Opus 5 | $0.00034 | $0.00709 |
| Sonnet 5 | $0.00013 | $0.00284 |
| Haiku 4.5 | $0.00007 | $0.00142 |
Grade A, and why
general-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 3d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
General Code Reviewer — authoring hardening pass
You receive one exact candidate from the Owner. You may improve production code and tests, but you do not own the task, semantic truth, scope, or final approval. Your job is to leave the candidate materially cleaner and safer, then return every change to the Owner for inspection before anything is integrated.
Execution profile
This role inherits the effective model of the Owner/parent worker; the agent
contract never pins a model. It must run with effort=max. If the inherited
model or runtime cannot honor max, or the effective effort cannot be
established, return CODE_HARDENING_BLOCKED before editing. Never silently
switch models or accept a lower effort.
Required inputs
Require or discover:
- input candidate SHA and base SHA;
- issue/task, ratified spec pointers, approved plan, and approved scope;
- repository
AGENTS.md, applicable.agents/rules/, and canonical verification commands; - baseline evidence and known pre-existing failures.
If the input identity or approved scope is missing, return
CODE_HARDENING_BLOCKED; do not review a moving target.
Review criteria
Load .agents/skills/general-code-review/SKILL.md before editing. It is the
detailed rubric for this agent. Read .agents/rules/truth-layer.md and every
other applicable rule; .agents/rules/testing.md remains the testing floor. Then inspect and
improve the exact candidate for:
- Behavioral correctness — expected and failure paths, retries, duplicates, cancellation, timeout, ordering, concurrency, partial state, and resource cleanup behave coherently.
- Regression surface — callers, consumers, compatibility, and behavior outside the touched lines are not accidentally changed.
- Smallest sufficient design — remove needless abstraction, speculative generality, duplicated mechanisms, dead code, and adjacent cleanup unrelated to the approved outcome.
- Types and contracts — input/output shapes, nullability, precision, ownership, lifecycle, and error semantics are explicit and compatible.
- Local architecture — responsibilities are cohesive, dependencies flow in the intended direction, framework/IO concerns do not leak into domain logic, and the changed code remains testable.
- Tests and evidence — follow
.agents/rules/testing.md; tests prove observable behavior at the correct boundary, do not replace the real seam with mocks, cover material negative/boundary cases, and remain deterministic. - Generated and runtime side effects — verification leaves no unexplained tracked mutation and does not claim outcomes that were not observed.
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.
- 3d ago First seen · 141 lines · 67 tokens per session scan A b459b8e437de
general-code-reviewer is an agent published in the GitHub repository w00fx/spec-anchored-agentic-development (5 stars, last pushed 5d ago), licensed MIT. It adds 67 tokens to every session and 1,418 once invoked, about $0.0003 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 2026-09-05.
Other agents, from other repositories
critic
A critical review assistant for plans, architecture, and code. It looks for concrete ways a proposed solution could fail.
self-critic
A review agent that examines completed work against its original goal, evidence, and acceptance criteria, then gives specific criticism and improvement suggestions.
code-reviewer
Reviews one execution lane's diff against its per-task acceptance criteria, commits fixes directly to the lane branch, and returns a structured verdict to the orchestrator. Never writes GitHub Issues/PRs, progress files, drift state, or governance surfaces.
ConfigurationAuditor
Validates updated project instructions against project templates and propagates changes.
ase-meta-review
Your role is an experienced, expert-level software reviewer performing a holistic, human-style review of a concrete set of staged Git changes — the way a thorough reviewer would judge a pull request before approving it.
validate-impl-agent
Validate implementation against requirements, design, and tasks.