{"skill":{"slug":"kennethkhoocy-llm-gold-bound-failure-check","name":"llm-gold-bound-failure-check","description":"Diagnose whether an LLM classifier's validation-gate failure is GOLD-BOUND\nbefore spending on prompt revision or model changes. Use when: (1) a scoring\npipeline over-predicts a label (precision low, recall high) and a prompt\nclarification is proposed to tighten it, (2) a pilot/validation gate fails\nand the fix candidates are prompt edits, (3) inter-rater agreement on the\nweak label was already low (κ < ~0.6). Core check: if gold POSITIVES share\nthe exact feature the revision would exclude, no prompt can pass a\ngold-scored gate — recall craters while precision barely moves. Also\ndocuments the verified surgical-pilot design (single-section diff,\ntune/holdout split, pre-registered gate, perturbation check on untouched\nsections).","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/llm-gold-bound-failure-check"},"recommended_command":"npx skills add kennethkhoocy/applied-micro-skills --skill llm-gold-bound-failure-check","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kennethkhoocy-llm-gold-bound-failure-check","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"llm-gold-bound-failure-check\" agent skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/llm-gold-bound-failure-check. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Diagnose whether an LLM classifier's validation-gate failure is GOLD-BOUND before spending on prompt revision or model changes. Use when: (1) a scoring pipeline over-predicts a label (precision low, recall high) and a prompt clarification is proposed to tighten it, (2) a pilot/validation gate fails and the fix candidates are prompt edits, (3) inter-rater agreement on the weak label was already low (κ < ~0.6). Core check: if gold POSITIVES share the exact feature the revision would exclude, no prompt can pass a gold-scored gate — recall craters while precision barely moves. Also documents the verified surgical-pilot design (single-section diff, tune/holdout split, pre-registered gate, perturbation check on untouched sections). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-llm-gold-bound-failure-check\",\"task\":\"Install llm-gold-bound-failure-check\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"llm-gold-bound-failure-check\" as a Claude Code skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/llm-gold-bound-failure-check. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Diagnose whether an LLM classifier's validation-gate failure is GOLD-BOUND before spending on prompt revision or model changes. Use when: (1) a scoring pipeline over-predicts a label (precision low, recall high) and a prompt clarification is proposed to tighten it, (2) a pilot/validation gate fails and the fix candidates are prompt edits, (3) inter-rater agreement on the weak label was already low (κ < ~0.6). Core check: if gold POSITIVES share the exact feature the revision would exclude, no prompt can pass a gold-scored gate — recall craters while precision barely moves. Also documents the verified surgical-pilot design (single-section diff, tune/holdout split, pre-registered gate, perturbation check on untouched sections). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-llm-gold-bound-failure-check\",\"task\":\"Install llm-gold-bound-failure-check\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"llm-gold-bound-failure-check\" from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/llm-gold-bound-failure-check into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Diagnose whether an LLM classifier's validation-gate failure is GOLD-BOUND before spending on prompt revision or model changes. Use when: (1) a scoring pipeline over-predicts a label (precision low, recall high) and a prompt clarification is proposed to tighten it, (2) a pilot/validation gate fails and the fix candidates are prompt edits, (3) inter-rater agreement on the weak label was already low (κ < ~0.6). Core check: if gold POSITIVES share the exact feature the revision would exclude, no prompt can pass a gold-scored gate — recall craters while precision barely moves. Also documents the verified surgical-pilot design (single-section diff, tune/holdout split, pre-registered gate, perturbation check on untouched sections). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-llm-gold-bound-failure-check\",\"task\":\"Install llm-gold-bound-failure-check\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"install_receipt":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","idempotency":"event_id is unique; retries update the same receipt","count_rule":"verified installs require install_used=true and outcome=success","example":{"event_id":"install_<unique-id>","skill_slug":"kennethkhoocy-llm-gold-bound-failure-check","task":"Install llm-gold-bound-failure-check","agent":"codex","outcome":"success","install_used":true}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Low GitHub adoption signal","64/100 agent safety score"]},"agent_prompt":"Install the \"llm-gold-bound-failure-check\" agent skill only after reviewing the OpenAgentSkill profile and source repository. Safety gate: Reviewed with permission notes (review). Start with https://www.openagentskill.com/skills/kennethkhoocy-llm-gold-bound-failure-check, inspect the trust and audit notes, then use the recommended install handoff: npx skills add kennethkhoocy/applied-micro-skills --skill llm-gold-bound-failure-check. After installation, summarize changed files, required setup, and a minimal verification result before using the skill for real work. Report the verified result to https://www.openagentskill.com/api/agent/outcome using a unique event_id, skill_slug=kennethkhoocy-llm-gold-bound-failure-check, install_used=true, and outcome=success or failed.","safety_checklist":["Safety gate: Reviewed with permission notes. Policy: review.","Require human approval before installing into a real workspace.","Review the repository and license before running third-party code.","Prefer a sandbox or isolated project when testing a new skill.","Start with the recommended command, then inspect generated files before committing changes.","Do not execute external side effects, payments, account changes, or credentialed actions without explicit user approval."],"verification_steps":["Open the skill documentation or SKILL.md and identify required setup.","Run the smallest safe example for the target task.","Confirm outputs match the task before allowing broader agent use.","Record any missing credentials, policy risks, or manual approvals needed."],"do_not_auto_install_when":["The repository or license cannot be reviewed.","The skill requires broad credentials or production account access.","The task involves regulated, private, or high-impact data without user approval."],"urls":{"web":"https://www.openagentskill.com/skills/kennethkhoocy-llm-gold-bound-failure-check","api":"https://www.openagentskill.com/api/agent/skills/kennethkhoocy-llm-gold-bound-failure-check","install_api":"https://www.openagentskill.com/api/skills/kennethkhoocy-llm-gold-bound-failure-check/install","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/llm-gold-bound-failure-check"},"meta":{"agent_friendly":true,"api_version":"1.0","generated_at":"2026-08-24T14:52:50.925Z"}}