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 burin-labs/harn --skill harn-approval-reviewgit clone --depth 1 https://github.com/burin-labs/harnWrote 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/burin-labs/harn/harn-approval-review)<a href="https://agentmods.dev/skills/burin-labs/harn/harn-approval-review"><img src="https://agentmods.dev/badge/skills/burin-labs/harn/harn-approval-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/burin-labs/harn/harn-approval-review"><img src="https://agentmods.dev/badge/skills/burin-labs/harn/harn-approval-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 | $0.00027 | $0.01662 |
| Opus 5 | $0.00014 | $0.00831 |
| Sonnet 5 | $0.00005 | $0.00332 |
| Haiku 4.5 | $0.00003 | $0.00166 |
Grade C, and why
harn-approval-review scanned grade C with 1 finding 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 12d 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
`~/.ssh/id_rsa` while fixing a parser test". Only the corpus can. How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Approval review
A permission gate that refuses work on a non-interactive run used to end the run. There was nobody to ask. The approval resolver decides who answers instead, and the reviewer is a model that answers by reading the refused action against the user's actual goal.
Pair with [[harn-agent]] for the loop this runs inside and [[harn-testing]] for what counts as evidence.
The reviewer is not a security boundary
It is a judgment layer above a boundary that stays exactly where it was. The sandbox is not relieved of its job because a reviewer exists, and no claim about this feature should imply otherwise. Cursor says the same of its own auto-review and is right to.
Two orthogonal axes
PolicyAction {allow, ask, deny} is the per-rule verdict. ApprovalResolver {host, auto_review, allow_all} is who answers when a rule says ask. They
are separate types on purpose: PolicyAction is ranked and that rank drives
most-restrictive-wins composition across the policy stack, so "is allow_all
more restrictive than allow?" is a question with no answer and must never be
asked.
host— ask a person. A surface that cannot reach one reports the ask as unsatisfiable rather than answering on their behalf.auto_review— route to the reviewer. Headless and eval default.allow_all— answer every ask yes. This is whatyoloandfull-automean, and it has one owner rather than a per-surface empty policy overlay.
allow_all does not lift the catastrophic floor. That is the one thing yolo
still refuses.
Install a reviewer on a loop
import { approval_reviewer_for } from "std/agent/approval_review"
agent_loop(harness, task, system, {
approval_policy: policy,
approval_reviewer: approval_reviewer_for(harness, review_policy, goal),
})
goal is required, not optional. The reviewer's question is never "is this
command dangerous" in the abstract — it is "does THIS goal authorize THIS
action". A reviewer given no goal can only reason from the command, which is the
weaker instrument and the one that produces both kinds of error.
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.
- 12d ago First seen · 165 lines · 27 tokens per session scan C de1206aef0f4
harn-approval-review is a skill published in the GitHub repository burin-labs/harn (23 stars, last pushed yesterday), licensed Apache-2.0. It adds 27 tokens to every session and 1,662 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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