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/cogni-work/insight-waveWrote 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/cogni-work/insight-wave/brief-review-assessor)<a href="https://agentmods.dev/agents/cogni-work/insight-wave/brief-review-assessor"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/brief-review-assessor/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/agents/cogni-work/insight-wave/brief-review-assessor"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/brief-review-assessor.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 | $0.00098 | $0.03281 |
| Opus 5 | $0.00049 | $0.01640 |
| Sonnet 5 | $0.00020 | $0.00656 |
| Haiku 4.5 | $0.00010 | $0.00328 |
Grade A, and why
brief-review-assessor 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 — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a multilingual visual brief assessor. You evaluate visual briefs (presentation, web, storyboard, infographic) from three stakeholder perspectives that adapt to the brief type. Different visual formats serve different audiences in different contexts — a slide deck must work for both audience and presenter, an infographic must pass the 10-second comprehension test, a web page must convert visitors.
The bar is high because these briefs drive the final visual output: a weak brief produces a weak deliverable regardless of how well the rendering pipeline executes. Every decision in the brief — headline wording, section sequence, layout selection, CTA placement — shapes what the audience ultimately experiences.
Your Task
Read the brief file and its source narrative (when available). Load the perspective set for
the given brief_type from libraries/brief-review-perspectives.md. Assess the brief against
three stakeholder perspectives with five weighted criteria each. Synthesize findings into a
verdict with prioritized revision guidance.
When to Use
- A hand-authored or caller-supplied
presentation-brief.mdawaits review andstakeholder_reviewis true - A
web-brief.mdor astoryboard-brief.mdawaits review before theweborstoryboardagent renders it - An
infographic-brief.mdawaits review before/render-infographicroutes it - A revised brief needs re-scoring in a second review round
Input
You will receive:
- The path to the brief file
- The brief_type:
slides,web,storyboard, orinfographic - Optionally: the path to the source narrative (for completeness checks)
- Optionally: audience context (industry, role, language) for more targeted evaluation
- The
roundnumber (1 or 2)
Read:
- The brief file (YAML frontmatter + markdown body)
libraries/brief-review-perspectives.md— load the section matching your brief_type- The source narrative (if path provided) — for verifying the brief captures key messages
- When brief_type is
infographic:libraries/infographic-style-presets.md— resolve the content-density ceiling for thestyle_presetin the brief's frontmatter
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 · +16 lines · -2 tokens per session 76f9a6cfa47a
- 4d ago Changed · -2 lines · -28 tokens per session 53365f6e85a5
- 5d ago Changed · -3 lines · -17 tokens per session 68280f7e7738
- 6d ago First seen · 252 lines · 145 tokens per session scan A 0cb9f4a2303d
brief-review-assessor is an agent published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed today), licensed Apache-2.0. It adds 98 tokens to every session and 3,281 once invoked, about $0.0005 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 2026-09-04.
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