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 commands/dkorobtsov/codex-review-loop/review-plangit clone --depth 1 https://github.com/dkorobtsov/codex-review-loopWhat 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 | $0.00023 | $0.03156 |
| Opus 5 | $0.00012 | $0.01578 |
| Sonnet 5 | $0.00005 | $0.00631 |
| Haiku 4.5 | $0.00002 | $0.00316 |
Grade A, and why
review-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run the following script to launch parallel Codex risk assessment agents. Each agent reads the plan and analyzes the existing codebase in read-only mode, focusing on a different risk category.
set -e
REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || pwd)
cd "$REPO_ROOT"
# ── Resolve plan file(s) ──────────────────────────────────────────────
# Accepts one or more file paths. Strips @ prefix (Claude Code file references).
# Multiple files are concatenated with separators.
PLAN_FILES=()
for arg in "$@"; do
# Strip leading @ (Claude Code @file reference syntax)
arg="${arg#@}"
# Resolve relative to repo root
if [ ! -f "$arg" ] && [ -f "${REPO_ROOT}/${arg}" ]; then
arg="${REPO_ROOT}/${arg}"
fi
if [ -f "$arg" ]; then
PLAN_FILES+=("$arg")
else
echo "WARNING: Plan file not found, skipping: $arg"
fi
done
if [ ${#PLAN_FILES[@]} -eq 0 ]; then
echo "ERROR: No plan files found."
echo "Usage: /review-plan path/to/plan.md [path/to/plan2.md ...]"
exit 1
fi
# Concatenate all plan files
PLAN_CONTENT=""
for pf in "${PLAN_FILES[@]}"; do
if [ -n "$PLAN_CONTENT" ]; then
PLAN_CONTENT="${PLAN_CONTENT}
---
"
fi
PLAN_CONTENT="${PLAN_CONTENT}$(cat "$pf")"
done
PLAN_LINES=$(echo "$PLAN_CONTENT" | wc -l | tr -d ' ')
if [ "$PLAN_LINES" -lt 3 ]; then
echo "ERROR: Plan file(s) too short ($PLAN_LINES lines). Provide a real plan."
exit 1
fi
PLAN_LABEL=$(printf '%s ' "${PLAN_FILES[@]}" | sed "s|${REPO_ROOT}/||g")
echo "=== Pre-Implementation Risk Assessment ==="
echo "Plan: ${PLAN_LABEL}(${#PLAN_FILES[@]} file(s), $PLAN_LINES lines)"
# ── Prerequisites ───────────────────────────────────────────────────
command -v codex >/dev/null 2>&1 || { echo "ERROR: codex not installed (npm install -g @openai/codex)"; exit 1; }
# ── Load project conventions ────────────────────────────────────────
CONVENTIONS=""
if [ -f "AGENTS.md" ]; then
CONVENTIONS=$(cat AGENTS.md 2>/dev/null || true)
elif [ -f "CLAUDE.md" ]; then
CONVENTIONS=$(cat CLAUDE.md 2>/dev/null || true)
fi
CONVENTIONS_BLOCK=""
if [ -n "$CONVENTIONS" ]; then
CONVENTIONS_BLOCK="PROJECT CONVENTIONS (from AGENTS.md):
---
${CONVENTIONS}
---"
fi
# ── Optional: dependency map ────────────────────────────────────────
DEP_MAP=""
if [ "${REVIEW_LOOP_SKIP_MAP:-false}" != "true" ] && command -v codebase-map >/dev/null 2>&1; then
MAP_FORMAT="${REVIEW_LOOP_MAP_FORMAT:-graph}"
DEP_MAP=$(codebase-map --format "$MAP_FORMAT" 2>/dev/null || true)
if [ -n "$DEP_MAP" ]; then
DEP_MAP="CODEBASE DEPENDENCY MAP:
---
${DEP_MAP}
---"
fi
fi
# ── Common preamble ─────────────────────────────────────────────────
PREAMBLE="You are performing a PRE-IMPLEMENTATION risk assessment. The team is about to implement the plan below.
Your job: analyze the EXISTING codebase to find risks, conflicts, and gaps BEFORE any code is written.
PLAN TO ASSESS:
---
${PLAN_CONTENT}
---
${CONVENTIONS_BLOCK}
${DEP_MAP}
IMPORTANT: This is read-only analysis. Do NOT modify any files. Use \`cat\`, \`find\`, \`grep\`, \`ls\` to explore the codebase.
Read relevant source files to understand current implementation before flagging risks."
# ── Per-agent prompts ───────────────────────────────────────────────
DEPS_PROMPT="${PREAMBLE}
FOCUS: DEPENDENCY & CONFLICT ANALYSIS
Analyze the existing codebase for conflicts with the proposed plan:
- API contracts: Will the plan break existing callers? Incompatible signature changes? Missing migrations?
- Data models: Schema conflicts? Backward-incompatible changes? Missing data backfills?
- Shared state: Race conditions with existing concurrent code? Shared resources (caches, queues, locks)?
- Import/dependency graph: Circular dependencies? Version conflicts? Missing packages?
- Configuration: Env vars, feature flags, config files that need updating?
For each risk: [HIGH/MED/LOW] description — file:line (existing code at risk)
HIGH=will break existing functionality, MED=likely issue, LOW=worth checking"
ARCH_PROMPT="${PREAMBLE}
FOCUS: ARCHITECTURE, SIMPLIFICATION & REUSE
Assess whether the plan fits the existing architecture — and challenge its complexity:
- Pattern consistency: Does the plan follow existing patterns (routing, state management, error handling, logging)?
- Module boundaries: Does the plan respect existing module/service boundaries? Cross-cutting concerns?
- Existing code reuse: Does the codebase already have utilities, helpers, services, or patterns that the plan reinvents? Point to exact files.
- Over-engineering: Which parts are more complex than needed? New abstractions where a simple function call works? Can you drop a dependency, skip a migration, use an existing queue/cache/table?
- Refactor-first: Would a small refactor of existing code make the planned feature trivial? Existing code that's 80% of what's needed?
- Simpler alternatives: Is there a fundamentally simpler way to achieve the same outcome? Different data model, different API shape, different flow?
For EACH simplification, be specific: point to the existing code (file:line), explain what it already does, and show how the plan could leverage it.
For each risk: [HIGH/MED/LOW] description — file:line (relevant existing code)
HIGH=plan reinvents existing code or architectural mismatch, MED=significant simplification possible, LOW=minor concern"
SECURITY_PROMPT="${PREAMBLE}
FOCUS: SECURITY IMPLICATIONS
Assess security risks of implementing this plan in the existing codebase:
- Auth & access: Does the plan introduce new endpoints/routes without auth? Privilege escalation paths?
- Input validation: New user inputs without sanitization? Injection vectors (SQL, XSS, command, path traversal)?
- Data exposure: Will the plan expose sensitive data? Logging PII? Error messages leaking internals?
- Secrets management: New API keys/tokens needed? Stored securely? Rotatable?
- Attack surface: New external integrations? Webhook receivers? File uploads? Rate limiting needed?
- Existing vulnerabilities: Does the plan build on code that already has security issues?
For each risk: [HIGH/MED/LOW] description — file:line (existing code or planned touchpoint)
HIGH=exploitable vulnerability, MED=defense-in-depth gap, LOW=hardening opportunity"
TESTING_PROMPT="${PREAMBLE}
FOCUS: TESTING, CORNER CASES & FAILURE MODES
Shift testing left. Challenge the plan — what will break, what's missing, what's untested:
Testing gaps:
- Existing test coverage: What tests exist for code the plan will modify? Are they adequate?
- Test infrastructure: Does the project have test setup for what the plan needs (DB fixtures, API mocks, E2E)?
- Regression risks: Which existing tests might break? What new tests are essential (not nice-to-have)?
Corner cases & failure modes:
- Edge cases: Empty inputs, zero items, null values, concurrent requests, unicode, timezone boundaries?
- Failure modes: What happens when external services are down? Database full? Network timeout? Partial writes?
- Race conditions: Multiple users hitting the same endpoint? Concurrent updates? Stale cache reads?
- Data integrity: Malformed, duplicated, or missing data? Orphaned records after partial failures?
- Rollback: If step 3 of 5 fails, what state is the system in? Can you recover?
- Scale surprises: Works for 10 users but breaks at 10K? O(n²) hidden in a loop? Unbounded queries?
- Migration risks: What happens to existing data/users during deployment? Backward compatibility?
For each finding: [HIGH/MED/LOW] description — file:line (existing code where the issue would manifest)
HIGH=will fail in production or critical untested path, MED=likely edge case, LOW=defensive consideration"
# ── Launch parallel agents ──────────────────────────────────────────
OUTDIR="/tmp/codex-plan-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$OUTDIR"
# --full-auto: sandboxed automatic execution (agents can read codebase freely)
CODEX_FLAGS="${REVIEW_LOOP_PLAN_FLAGS:---full-auto}"
START_TIME=$(date +%s)
echo ""
echo "Output → $OUTDIR/"
echo "Launching 4 parallel risk assessment agents (read-only)..."
echo "---"
# shellcheck disable=SC2086
codex exec review "$DEPS_PROMPT" $CODEX_FLAGS >/dev/null 2>"${OUTDIR}/1-dependencies.raw" &
PID1=$!
# shellcheck disable=SC2086
codex exec review "$ARCH_PROMPT" $CODEX_FLAGS >/dev/null 2>"${OUTDIR}/2-architecture.raw" &
PID2=$!
# shellcheck disable=SC2086
codex exec review "$SECURITY_PROMPT" $CODEX_FLAGS >/dev/null 2>"${OUTDIR}/3-security.raw" &
PID3=$!
# shellcheck disable=SC2086
codex exec review "$TESTING_PROMPT" $CODEX_FLAGS >/dev/null 2>"${OUTDIR}/4-testing.raw" &
PID4=$!
FAILURES=0
wait $PID1 || FAILURES=$((FAILURES + 1))
wait $PID2 || FAILURES=$((FAILURES + 1))
wait $PID3 || FAILURES=$((FAILURES + 1))
wait $PID4 || FAILURES=$((FAILURES + 1))
ELAPSED=$(( $(date +%s) - START_TIME ))
# ── Clean and merge output ──────────────────────────────────────────
REPORT_FILE="${OUTDIR}/risk-report.md"
{
echo "# Pre-Implementation Risk Assessment — 4 Agents"
echo ""
echo "Plan: ${PLAN_LABEL}| Agents: 4 | Duration: ${ELAPSED}s"
echo ""
} > "$REPORT_FILE"
for f in "${OUTDIR}"/*.raw; do
[ -f "$f" ] || continue
AGENT_NAME=$(basename "$f" .raw | sed 's/^[0-9]-//')
# Strip codex noise
if [[ "$OSTYPE" == "darwin"* ]]; then
sed -i '' '/^mcp:/d; /^Warning:/d; /^thinking$/d; /^exec$/d; /^user$/d; /^OpenAI Codex/d; /^--------$/d; /^workdir:/d; /^model:/d; /^provider:/d; /^approval:/d; /^sandbox:/d; /^reasoning/d; /^session id:/d' "$f" 2>/dev/null || true
else
sed -i '/^mcp:/d; /^Warning:/d; /^thinking$/d; /^exec$/d; /^user$/d; /^OpenAI Codex/d; /^--------$/d; /^workdir:/d; /^model:/d; /^provider:/d; /^approval:/d; /^sandbox:/d; /^reasoning/d; /^session id:/d' "$f" 2>/dev/null || true
fi
# Extract after last "codex" marker
if grep -q "^codex$" "$f" 2>/dev/null; then
LINE=$(grep -n "^codex$" "$f" | tail -1 | cut -d: -f1)
if [ -n "$LINE" ]; then
tail -n +"$((LINE + 1))" "$f" > "${f}.clean"
mv "${f}.clean" "$f"
fi
fi
{
echo "---"
AGENT_TITLE="$(echo "$AGENT_NAME" | awk '{print toupper(substr($0,1,1)) substr($0,2)}')"
echo "## ${AGENT_TITLE} Assessment"
echo ""
if [ -s "$f" ]; then
cat "$f"
else
echo "_No risks identified._"
fi
echo ""
} >> "$REPORT_FILE"
done
echo "---"
echo "4 agents finished (elapsed=${ELAPSED}s, failures=${FAILURES})"
echo "Risk report: $REPORT_FILE ($(wc -c < "$REPORT_FILE" | tr -d ' ') bytes)"
echo "Individual: ${OUTDIR}/*.raw"
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 · 292 lines · 23 tokens per session scan A d4b09bb32237
review-plan is a command published in the GitHub repository dkorobtsov/codex-review-loop (2 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 3,156 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 2026-08-31.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.