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 chrono-meta/forge-harness --skill apex-reviewgit clone --depth 1 https://github.com/chrono-meta/forge-harnessWrote 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/chrono-meta/forge-harness/apex-review)<a href="https://agentmods.dev/skills/chrono-meta/forge-harness/apex-review"><img src="https://agentmods.dev/badge/skills/chrono-meta/forge-harness/apex-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/chrono-meta/forge-harness/apex-review"><img src="https://agentmods.dev/badge/skills/chrono-meta/forge-harness/apex-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.01704 |
| Opus 5.5 | $0.00021 | $0.00682 |
| Sonnet 5.5 | $0.00011 | $0.00341 |
| Haiku 4.5 | $0.00005 | $0.00170 |
Grade A, and why
apex-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 1mo 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
apex-review — Decision-Maker Review Layer
Reviews proposals from the perspective of top-level organizational decision-makers, not field practitioners. Technically excellent and "this person will approve it" are different things.
Role distinction from hub-persona-auditor
- hub-persona-auditor: Validates reader comprehension of a finished asset (reading experience)
- apex-review: Evaluates decision-maker approval likelihood of a technical proposal (decision-making experience)
Triggers
/apex-review- "Will this work for the decision-maker?", "Will the CTO approve this?", "What do I need to present to the team lead?"
- "Review from an executive perspective", "Generate presentation slides" (when decision-maker audience is specified)
- When agent-composer identifies a task requiring a decision-maker approval gate
- "Check this before I report to my manager"
- "Does this look convincing?"
- "Find objections they might raise in advance"
- "Review before the executive briefing"
- "Do you think this will pass?"
Built-in Decision-Maker Personas
| Code | Role | Core Evaluation Criteria | Auto-Reject Triggers |
|---|---|---|---|
CTO |
Chief Technology Officer | Strategic alignment · competitive advantage · tech vision | "Everyone else is already doing this" / "Feels like a personal project" |
TD |
Technical Lead / Team Lead | Implementation risk · team capability · operational burden · cost | Vague timelines / conflicts with existing stack |
QAL |
QA Lead / Quality Owner | Quality standards · testability · rollback plan · compliance | No validation plan / failure scenarios not documented |
CONF |
Conference Organizer / External Reviewer | Novelty · demo-readiness · audience value · reproducibility | Overloaded with internal jargon / demo not possible |
If the user does not specify a target persona, it will be confirmed in Step 0.
Step 0. Receive Topic + Target
If no input is provided:
Please provide the apex-review target.
Proposal summary: (What are you seeking approval for?)
Target decision-maker: [CTO / TD (Technical Lead) / QAL (QA Lead) / CONF (Conference)] — multiple allowed
Proposal file: (provide path or paste content if available)
Output format: [HTML presentation deck (recommended) / Markdown report]
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.
- 1mo ago First seen · 191 lines · 53 tokens per session scan A e42395e18348
apex-review is a skill published in the GitHub repository chrono-meta/forge-harness (30 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 1,704 once invoked, about $0.0002 per session on Opus 5.5. 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.
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