Approval gates audited for rubber-stamp fatigue and silent damage — who reviews what, when, with enough context to actually judge.
Free & open · no signup · read-only — it ends by asking · nothing leaves your machine
You are working inside this repo. Mission: audit where humans sit in the agent's loop — which actions are gated, which run silent — and redesign the placement so review happens where it matters and nowhere else.
Read-only pass. Your only write is the report file.
Phase 2 sweeps the codebase through every one of these, citing file and line for each finding.
high-volume, low-rejection gates training humans to click yes; worse than no gate because it manufactures false safety
silent sends, deletes, publishes, payments; rank by blast radius (see 35)
the approver sees enough to actually judge — the evidence, the diff, the recipient — or just a button labeled Approve
gates before cheap reversible steps, nothing before the expensive irreversible one
ten pings a day vs one reviewable batch; which does each gate deserve
uncertainty, stakes, or novelty routing to humans dynamically, or the same fixed rule for everything
a human says no: is the reason recorded and fed back (see 45), or discarded with the click
One structured report at the repo root — or in reports/, if you keep one — the same shape every time, ready for a teammate — or the optional Studio — to act on.
Every Goal Prompt follows the same four steps, so results are consistent and repeatable — no matter which one you run.
Inventory every approval or review gate.
Rubber-stamp fatigue — high-volume, low-rejection gates training humans to click yes.
Sort every action class into gate / sample-review / log-only, and defend each placement.
Create HITL.md at repo root.
Copy it and paste it into your agent inside the repo you want checked.
Install the goal plugin once — two commands — then just type /goal:human-in-the-loop-placement.
/plugin marketplace add GhostlyGawd/goal-prompts/plugin install goal@goal-promptsOr install only this Goal Prompt as /goal-human-in-the-loop-placement:
curl -fsSL https://goal-prompts.vercel.app/install | BRIEF=43 shLet an agent fetch it mid-conversation, or pull the raw Goal Prompt by URL.
https://goal-prompts.vercel.app/raw/43.mdNothing hidden — this is the whole Goal Prompt, verbatim. Read it in a minute, edit it, or copy it as-is.
# Goal: Human-in-the-Loop Placement You are working inside this repo. Mission: audit where humans sit in the agent's loop — which actions are gated, which run silent — and redesign the placement so review happens where it matters and nowhere else. Read-only pass. Your only write is the report file. ## Phase 1 — Map gates and gaps - Inventory every approval or review gate: what's gated, who reviews, what they're shown, and the volume. - If traces exist, pull the rejection rate per gate — approval rates near 100% are a finding, not a comfort. - Inventory the inverse: irreversible or external-facing actions with **no** gate at all. ## Phase 2 — Audit through 7 lenses 1. **Rubber-stamp fatigue** — high-volume, low-rejection gates training humans to click yes; worse than no gate because it manufactures false safety 2. **Missing gates** — silent sends, deletes, publishes, payments; rank by blast radius (see 35) 3. **Review context** — the approver sees enough to actually judge — the evidence, the diff, the recipient — or just a button labeled Approve 4. **Placement logic** — gates before cheap reversible steps, nothing before the expensive irreversible one 5. **Interrupt vs digest** — ten pings a day vs one reviewable batch; which does each gate deserve 6. **Escalation criteria** — uncertainty, stakes, or novelty routing to humans dynamically, or the same fixed rule for everything 7. **Rejection capture** — a human says no: is the reason recorded and fed back (see 45), or discarded with the click ## Phase 3 — Curate - Sort every action class into gate / sample-review / log-only, and defend each placement - The scarce resource is human attention; spend it where judgment changes outcomes ## Phase 4 — Report Create `HITL.md` at repo root: 1. **Gate inventory** — gate · volume · rejection rate · context shown · verdict 2. **Fatigue findings** — where approval has become theater 3. **Missing-gate list** — by blast radius 4. **The placement map** — every action class: gate / sample / log, with reasons 5. **Review UX fixes** — what each approver needs on screen Start the report with today's date. If `HITL.md` already exists from a previous run, read it first and lead with what changed since. ## Rules - A gate humans always approve protects no one and costs everyone - Gate by consequence, not by convenience of implementation - No automated decisions needing human oversight in this repo? Say so in a one-paragraph null report and stop — a null result is a valid finding. - If a `reports/` directory exists at the repo root, write the report there instead of the root. - Before asking, present the top findings as a ranked list in plain words - Report only — end by asking which placements to change
reports/ directory exists at the repo root, write the report there instead of the root.What waiting on an agent feels like — progress honesty, interruptibility, showing the work, and salvaging partial results.
Confidence theater vs honest hedging — uncertainty channels, citation integrity, and what the product does after being wrong.
Runs inside these playbooks — curated sequences you can launch with one paste: