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 skills add MereWhiplash/engram-cogitator --skill requesting-reviewgit clone --depth 1 https://github.com/MereWhiplash/engram-cogitatorWrote 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/merewhiplash/engram-cogitator/requesting-review)<a href="https://agentmods.dev/skills/merewhiplash/engram-cogitator/requesting-review"><img src="https://agentmods.dev/badge/skills/merewhiplash/engram-cogitator/requesting-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/merewhiplash/engram-cogitator/requesting-review"><img src="https://agentmods.dev/badge/skills/merewhiplash/engram-cogitator/requesting-review.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00030 | $0.01074 |
| Opus 5 | $0.00015 | $0.00537 |
| Sonnet 5 | $0.00006 | $0.00215 |
| Haiku 4.5 | $0.00003 | $0.00107 |
Grade A, and why
requesting-review 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 10d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requesting Code Review
Dispatch an independent reviewer for changes too large or risky for inline self-review. The reviewer gets precisely crafted context — never your session history — so it judges the work product, not your reasoning, and your own context stays clean.
Announce: "I'm using the requesting-review skill to dispatch an independent review."
Where this sits: Tier 1 of the review ladder (see @executing-plans Step 5). Default to Tier 0 inline self-review for small/medium changes. Escalate to Tier 2 external/adversarial review when you want a second model — only if codex is enabled in .cogitation/config.json:
- Code:
/codex:adversarial-review --background(officialcodex-plugin-cc) - Design/plan docs:
@codex-review
Step 1: Verify Ready @verifying
{test_command}
{lint_command}
{build_command}
If failures: Stop. Fix first using @debugging. Never request review on red.
Step 2: Load Review Context (EC)
Search EC so the reviewer gets codebase-specific signal:
ec_search:
query: code review feedback
type: learning
ec_search:
query: review pattern
type: pattern
Note prior feedback patterns to fold into the dispatch context.
Step 3: Dispatch the Reviewer
Get the range:
BASE_SHA=$(git rev-parse origin/main) # or HEAD~N for a single task
HEAD_SHA=$(git rev-parse HEAD)
Dispatch the general-purpose agent (no named agent — one source of truth) with this template:
Task tool (general-purpose):
description: "Review code changes"
prompt: |
You are a Senior Code Reviewer. Review completed work against its plan/requirements
and identify issues before they cascade. Read the actual diff — don't trust summaries.
## What Was Implemented
{DESCRIPTION}
## Requirements / Plan
{PLAN_OR_REQUIREMENTS} (e.g. docs/plans/YYYY-MM-DD-<topic>.md)
## Git Range
Base: {BASE_SHA}
Head: {HEAD_SHA}
```bash
git diff --stat {BASE_SHA}..{HEAD_SHA}
git diff {BASE_SHA}..{HEAD_SHA}
```
## EC Context (codebase conventions / prior decisions)
{EC_CONTEXT}
## What to Check
- Plan alignment: all planned functionality present; deviations justified, not accidental
- Code quality: separation of concerns, error handling, types, DRY without premature abstraction, edge cases
- Architecture: sound decisions, security, integrates cleanly with surrounding code
- Testing: tests assert real behavior (not mocks); edge cases; all passing
## Calibration
Categorize by ACTUAL severity — not everything is Critical. Only flag issues that
would cause real problems during implementation or in production. Skip style,
wording, and formatting preferences. Acknowledge what was done well first so the
rest of the feedback is trusted.
## Output
### Strengths
### Issues
#### Critical (Must Fix) — bugs, security, data loss, broken behavior
#### Important (Should Fix) — architecture, missing features, test gaps
#### Minor (Nice to Have) — style, optimization, docs
(each: file:line · what's wrong · why it matters · how to fix)
### Assessment — Ready to merge? [Yes | No | With fixes] + 1-2 sentence reason
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.
- 10d ago First seen · 131 lines · 30 tokens per session scan A 8a4c82f1afbb
requesting-review is a skill published in the GitHub repository MereWhiplash/engram-cogitator (4 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 1,074 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.
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