Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add gopherguides/gopher-ai/plugin install go-workflowWrote 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/skills/gopherguides/gopher-ai/review-deep)<a href="https://agentmods.dev/skills/gopherguides/gopher-ai/review-deep"><img src="https://agentmods.dev/badge/skills/gopherguides/gopher-ai/review-deep.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 | $0.00072 | $0.03156 |
| Opus 5 | $0.00036 | $0.01578 |
| Sonnet 5 | $0.00014 | $0.00631 |
| Haiku 4.5 | $0.00007 | $0.00316 |
Grade A, and why
review-deep 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Review: Full-Context Code Review + Fix
Plugin Resource Resolution
<PLUGIN_ROOT> is notation. Replace it with a concrete absolute plugin root before every resource read or command:
- Codex: Start from the directory containing the absolute selected
SKILL.mdpath, then ascend two directories (skills/<name>-> plugin root). - Claude Code: Bind it to the injected
${CLAUDE_PLUGIN_ROOT}value.
Performs a thorough code review with full PR/issue context, then fixes all actionable findings. Combines the depth of spec review, quality review, and Go-specific analysis in a single pass.
Before requesting decisions or delegating work, read
<PLUGIN_ROOT>/lib/driver-interaction.md and follow its
cross-platform capability-binding rules.
Read <PLUGIN_ROOT>/lib/decision-gates.md before resolving review
coverage or post-review actions.
Bind the invocation arguments as SKILL_ARGS for $go-workflow:review-deep by
reading <PLUGIN_ROOT>/lib/skill-arguments.md with this Claude Code compatibility payload:
$ARGUMENTS
Step 0: Parse Arguments
Parse SKILL_ARGS to extract:
- Bare numeric value: PR number (e.g.,
$go-workflow:review-deep 42) --issue <N>: Use specific issue as context (no PR required)--post: Auto-post findings to PR as a comment (skip asking)--scope <hint>: Focus area for the review (e.g., "error handling", "concurrency")--no-fix: Review only; do not edit files--no-commit: Apply fixes but leave review-owned changes uncommitted--push: Push the resulting local HEAD, including for a branch-only run--no-push: Never push; return the local and remote head state- Remaining text after flags: treated as scope hint
Store as PR_ARG, ISSUE_ARG, AUTO_POST (default: false), SCOPE_HINT,
FIX_CHANGES (default: true), COMMIT_CHANGES (default: true), and
PUSH_CHANGES (default: auto).
PR_ARG=""
ISSUE_ARG=""
AUTO_POST=false
SCOPE_HINT=""
FIX_CHANGES=true
COMMIT_CHANGES=true
PUSH_CHANGES=auto
ARGS="$SKILL_ARGS"
while [ -n "$ARGS" ]; do
case "$ARGS" in
--issue\ *)
ARGS="${ARGS#--issue }"
ISSUE_ARG="${ARGS%% *}"
ARGS="${ARGS#"$ISSUE_ARG"}"
ARGS="${ARGS# }"
;;
--post*)
AUTO_POST=true
ARGS="${ARGS#--post}"
ARGS="${ARGS# }"
;;
--scope\ *)
ARGS="${ARGS#--scope }"
SCOPE_HINT="$ARGS"
ARGS=""
;;
--no-fix*)
FIX_CHANGES=false
ARGS="${ARGS#--no-fix}"
ARGS="${ARGS# }"
;;
--no-commit*)
COMMIT_CHANGES=false
ARGS="${ARGS#--no-commit}"
ARGS="${ARGS# }"
;;
--no-push*)
PUSH_CHANGES=false
ARGS="${ARGS#--no-push}"
ARGS="${ARGS# }"
;;
--push*)
PUSH_CHANGES=true
ARGS="${ARGS#--push}"
ARGS="${ARGS# }"
;;
[0-9]*)
PR_ARG="${ARGS%% *}"
ARGS="${ARGS#"$PR_ARG"}"
ARGS="${ARGS# }"
;;
*)
SCOPE_HINT="$ARGS"
ARGS=""
;;
esac
done
echo "PR_ARG=$PR_ARG ISSUE_ARG=$ISSUE_ARG AUTO_POST=$AUTO_POST SCOPE_HINT=$SCOPE_HINT FIX_CHANGES=$FIX_CHANGES COMMIT_CHANGES=$COMMIT_CHANGES PUSH_CHANGES=$PUSH_CHANGES"
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +13 lines ab728e43f355
- 6d ago First seen · 289 lines · 72 tokens per session scan A bb4ff2d41899
review-deep is a skill published in the GitHub repository gopherguides/gopher-ai (21 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 3,156 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…