human-gate – Coding skill for AI agents
Runs the human-verification lane of an agent loop, and proves review happened before work is called done. Builds a single-file HTML review page, collects batched feedback as a structured artifact instead of chat prose, and runs a gate that refuses to close while a BLOCKER is open, the reviewer is unnamed, or nobody has
Install the human-gate skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/human-gate-87e6e.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /human-gate – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/human-gate-87e6e.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $human-gate – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/human-gate-87e6e.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /human-gate – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/human-gate-87e6e.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /human-gate – then describe the task you want done.
SKILL.md content
Human Gate
You are the part of the loop that refuses to let an agent mark its own homework.
Machine verification answers *"do the checks pass?"* — engineering/agent-harness does that.
This answers what no script can: **has a person looked at this, and are their objections
resolved?** Feedback becomes a machine-parseable artifact rather than a message — anchored,
severity-graded, countable — and a gate either passes or names what is still open.
Before starting, establish: which artifact (.md/.html), who the named reviewer is (a
person, not "the team" — G3 enforces it), whether the work is reversible, and whether a human
is available now. Read human-gate-context.md first if it exists.
The loop
S=engineering/human-gate/skills/human-gate/scripts
python3 $S/human_gate.py open plan.md --launch # build page, start round N → END YOUR TURN
python3 $S/human_gate.py status plan.md # non-blocking: 0 clear·2 blocked·3 collect·4 none
python3 $S/human_gate.py collect plan.md --output json # batch.v1 — apply every item
python3 $S/human_gate.py close plan.md # exit 2 = NOT donehuman_gate.py --sample runs the whole loop, refusals included, in ~1s. It drives
review_page_builder.py (Markdown/HTML → single-file anchored page that makes no network
request of its own and sanitizes reviewed HTML — on*, javascript:, iframe dropped) and
feedback_parser.py (sidecar → batch.v1, quotes checked against raw *and* rendered text).
The sidecar
Feedback lands in <artifact>.review.md. The page exports it; anyone can also write it by hand
in any editor — which keeps this working over SSH and in CI. Worked example and JSON contract
are in assets/.
<!-- human-gate:v1 target=plan.md round=1 -->
reviewer: reza
## BLOCKER b2
> We expect a 40% lift in activation.
No source, and it drives the whole plan. Cite it or cut it.Severities BLOCKER / MAJOR / MINOR / NIT (matching markdown-html/md-review, from Google's
code-review guidance), plus NOTE, APPROVE, and EDIT — a replacement the reviewer
already wrote, as - before: / + after: lines.
Gate rules
| | Refuses to close when | | |
|---|---|---|---|
| G1 | no round collected | G4 | sidecar changed after the last collect |
| G2 | a BLOCKER or MAJOR is open | G5 | round cap exhausted → escalate, never pass |
| G3 | no named reviewer | G6 | waiver used without a recorded reason |
| G7 | the round carries unresolved integrity problems — a mistyped severity silently downgrades to NIT, so a real blocker can be lost to a typo | | |
Overrides must be explicit — close plan.md --waive "<reason>" — but G1 is never waivable:
a waiver accepts objections a reviewer raised; it cannot stand in for review happening.
Hard rules
1. Never report done while close exits 2. Say what is open instead.
2. Never invent a reviewer name to satisfy G3. No reviewer *is* the finding.
3. Never paraphrase an EDIT's after — verbatim, or a human was silently overruled. Apply
it to whatever *generates* the artifact too, or it dies on the next build.
4. Never block-poll for a human. Hand over the path and end the turn; open detects a
headless host. Rounds are capped and exhaustion escalates.
5. Never auto-fetch and run unpinned code. The richer editor at petergyang/human-review
is opt-in, asked-first, and always pinned (npx -y [email protected]) — unpinned npx -y
runs whatever was published most recently. Its poll blocks and it rewrites HTML in place,
so wrap both. It changes the editor, never the gate. See audit/human-review-2026-08/.
6. Never treat the review page as source of truth. It is a viewing surface.
Forcing questions
One at a time when scope is fuzzy: Who, by name, signs off? · **What would make them reject
it outright? (name it before reading — Klein's pre-mortem) · Is this reversible?** (if not,
require explicit APPROVE, not merely no blockers) · The artifact or its generator? (both) ·
How many rounds is this worth? · Is a human available now? (if not, hand over and stop).
Two consecutive NIT-only rounds means it is done — say so rather than opening a third.
Related skills
engineering/agent-harness — machine verification; this is the human lane it lacks.
markdown-html/md-review — renders a code review *to* HTML, one-way; use when the agent
reviews, human-gate when a person does. engineering/grill-me — interrogates a plan before
an artifact exists. content-humanizer/behuman — human *voice*, not approval.
Reasoning lives in references/ — human-in-the-loop canon, feedback batching, loop discipline.
Conceptual derivation of the batched-review pattern from
[petergyang/human-review](https://github.com/petergyang/human-review) (MIT © 2026 Peter Yang);
no upstream code is used — stdlib Python, no server, non-blocking, plus a gate upstream lacks.
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