gate-l3-evidence-truth
Evaluates whether implementation evidence is sufficient to pass quality gates.
Skill by shynlee04
Chalk Labs
Need help deploying gate-l3-evidence-truth?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/shynlee04-gate-l3-evidence-truth
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/gate-l3-evidence-truth
What's inside
- Skill name
gate-l3-evidence-truth- Description
- Evaluates whether implementation evidence is sufficient to pass quality gates. Enforces an evidence hierarchy from live runtime proof (L1) down to documentation summaries (L5), and refuses gate passage when evidence is missing, mocked where integration is claimed, or insufficient for the gate type. Use during code review gates, phase audits, milestone verification, integration checks, and deployment readiness. Activates after gate-spec-compliance clears spec alignment — this is the terminal gate in the triad (lifecycle → spec → evidence). Triggers: "evidence check", "gate evidence", "verify runtime proof", "evidence truth", "is there proof this works", "evidence hierarchy", "gate truth", "runtime evidence", "integration evidence", "mock-only detection", "completion honesty", "gate passed", "gate failed". Terminal skill in the quality gate triad — if evidence PASSES, all 3 gates clear.
- License
- MIT
- Metadata
- role: domain-execution · layer: 2 · pattern: P2 · version: 1.0.0 · triad-position: terminal
- Instructions
- 155 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- allowed-tools: must be a space-separated string
- files: referenced but missing: references/project-adapter-guide.md
Files (17)
- SKILL.md
- .gitkeep · evals/
- evals.json · evals/
- .gitkeep · metrics/
- rich-gate-scorecard.md · metrics/
- .gitkeep · references/
- adopted-patterns.md · references/
- anti-patterns.md · references/
- cross-skill-routing-detail.md · references/
- evaluation-checklist.md · references/
- evaluation-workflow-detail.md · references/
- harness-verification-trees.md · references/
- perspective-rubrics.md · references/
- .gitkeep · scripts/
- run-evidence-check.sh · scripts/
- .gitkeep · templates/
- evidence-report.md · templates/
SKILL.md (first lines)
## The Iron Law
```
No gate passes on documentation alone. Evidence must be classified, honest, and runtime-verified.
```
# Gate Evidence Truth
Terminal gate in the quality-gate triad. Receives from `gate-spec-compliance` after spec alignment clears. If evidence truth PASSES, all three gates (spec, lifecycle, evidence) are satisfied and work may proceed to merge/release.
## On Load
1. Read `references/evaluation-checklist.md` — per-dimension audit criteria
2. Read `references/anti-patterns.md` — known evidence anti-patterns and detection
3. Read `references/harness-verification-trees.md` — module-specific verification protocols
## Do NOT Load
Skip this skill when:
- Performing spec alignment checks — use `gate-spec-compliance` instead
- Checking lifecycle coverage — use `gate-lifecycle-integration` instead
- Running research or exploration workflows (not gate verification)
- The calling workflow has not passed `gate-spec-compliance` yet
- No implementation artifacts exist to evaluate
## Evidence Hierarchy
Classify every evidence artifact into exactly one level:
| Level | Source | Example |
|-------|--------|---------|
| **L1** | Live OpenCode runtime session | Feature exercised in actual OpenCode instance |
| **L2** | Continuity record from live run | Delegation/session record captured from real execution |
| **L3** | Integration test passing | Tests hitting real SDK boundaries (not mocked) |
| **L4** | Unit test passing | Tests that mock SDK boundaries |
| **L5** | Documentation/historical summary | Specs, design docs, conversation summaries |
**L5 alone never passes any gate.**
## Gate Type → Minimum Evidence Level
| Gate Type | Minimum Level | Required Evidence |
|-----------|---------------|-------------------|
| PR review | L3 | At least integration tests hitting real boundaries |
| Phase completion | L2 | Continuity record from real run |
| Merge | L2 | Continuity record from real run |
| Milestone completion | L2 + one L1 | Continuity record plus at least one live session proof |
| Release/deployment | L1 | Live runtime proof required |
## Contextual Perspective Activation
Determine the current context, then activate the appropriate evaluation lens:
| Context | Primary Lens | Secondary Lens | Emphasis |
|---------|-------------|----------------|---------|
| Code review | Dev | Architect | Test integrity, mock coverage |
| Phase audit | Architect | PM | Evidence hierarchy compliance, regression |
| Milestone verification | PM | Architect | Runtime proof, completion honesty |
| Integration check | Architect | Dev | Live verification, cross-boundary testing |
| Deployment readiness | All three | — | Full evidence verification across all dimensions |
Load `references/perspective-rubrics.md` for per-lens evaluation criteria.
## Core Evaluation Workflow
Follow this checklist in order:
```
- [ ] STEP 1: GATHER — Collect all evidence artifacts for the claim
- [ ] STEP 2: CLASSIFY — Assign L1–L5 to each artifact using evidence hierarchy
- [ ] STEP 3: CHECK MINIMUM — Does highest evidence level meet gate-type minimum?
- [ ] STEP 4: DETECT MOCKS — Any mock-only claims for integration surfaces?
- [ ] STEP 5: CHECK COMPLETION HONESTY — Any completion claims without backing evidence?
- [ ] STEP 6: REGRESSION CHECK — Any cross-phase regression risk from dependency graph?
- [ ] STEP 7: ANTI-PATTERN SCAN — Match evidence against anti-pattern catalog
- [ ] STEP 8: VERDICT — Render PASS or FAIL with remediation plan
```
See `references/evaluation-workflow-detail.md` for detailed step procedures, mock detection commands, and classification guidance.
## Cross-Skill Routing
### Triad Flow (lifecycle → spec → evidence)
```
gate-lifecycle-integration (ENTRY — checks lifecycle correctness)
↓ PASS
gate-spec-compliance (MIDDLE — checks spec alignment)
↓ PASS
gate-evidence-truth ← YOU ARE HERE (TERMINAL)
↓
├─ PASS → ALL 3 GATES CLEAR → proceed to merge/release
└─ FAIL → STOP → produce remediation plan → route to appropriate fix skill
```
Triad backward references, evidence collection handoff from `hm-production-readiness`, and full remediation routing are in `references/cross-skill-routing-detail.md`.
### Related Skills
| Related Skill | Role | Interaction |
|---------------|------|-------------|
| `gate-lifecycle-integration` | Entry gate | Must pass before spec compliance runs |
| `gate-spec-compliance` | Middle gate | Routes to this gate on PASS |
| `hm-production-readiness` | Evidence collector | Feeds structured L1-L5 evidence into this gate |
| `hm-cross-cutting-change` | Mock honesty | Remediation target for mock-only failures |
| `hm-debug` | Root-cause investigation | Remediation for insufficient evidence level |
| `hm-completion-looping` | Loop-back control | Uses this gate's verdict for loop-back decisions |
| `hm-coordinating-loop` | Orchestration re-dispatch | Re-dispatches when evidence or regression gaps found |
| `hm-gate-orchestrator` | Triad lifecycle manager | Orchestrates triad sequencing, state persistence, cross-gate handoff |
## Adopted Patterns
Synthesizes three proven methodologies: **Anthropic Gather→Act→Verify**, **Google Testing Pyramid (70-20-10)**, **GRADE Evidence Framework**. See `references/adopted-patterns.md` for full synthesis.
## Self-Correction
### Mode 1: When No Evidence ExistsFrom shynlee04/hivemind-plugin, MIT.
More from shynlee04/hivemind-plugin
- 0.578score
hm-l3-synthesis
shynlee04
Compress research findings into actionable artifacts with tiered reduction.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l2-coordinating-loop
shynlee04
Coordinate multi-agent dispatch with validation gates and handoff protocols.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l3-integration-contracts
shynlee04
Formal bidirectional contract authority between skills and agents.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hf-l2-skill-synthesis
shynlee04
Use when synthesizing skills from GitHub repos, classifying skill patterns, building template libraries, generating eval frameworks, or creating eval-driven…
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hf-l2-agent-composition
shynlee04
Teaches agents how to compose specialist agents from user intent using XML markup grammar, step protocols, and structured return formats.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l3-detective
shynlee04
Investigate codebases with SCAN, READ, and DEEP reading modes.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hf-l2-context-absorb
shynlee04
Multi-wave swarm protocol for absorbing dense context (links, text, files, stories, events, actors) into persistent session-context-prompt.md.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hf-l2-command-parser
shynlee04
This skill should be used only when parsing $ARGUMENT propositional commands from OpenCode command strings.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
gate-l3-lifecycle-integration
shynlee04
Internal quality gate that evaluates whether Hivemind harness implementations correctly participate in the runtime lifecycle — covering 9-surface mutation…
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hf-l2-skill-router
shynlee04
Maps meta-builder task domains to hf-* skill loading bundles with priority ordering.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hm-l2-test-driven-execution
shynlee04
Use when executing test-first implementation, RED/GREEN/REFACTOR cycles, failing-test validation, coverage claim verification, or test-suite quality work with…
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hf-l2-delegation-gates
shynlee04
Enforce pre-delegation authorization gates before agent dispatch.
SkillCFreshness: C★ 51Claude Code +9
Signals
- Stars
- 51
- Forks
- 16
- Open issues
- 21
- Last commit (this folder)
- May 7, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- MIT
- Repository
- github.com/shynlee04/hivemind-plugin
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from shynlee04
- 0.578score
hf-l2-agent-composition
shynlee04
Teaches agents how to compose specialist agents from user intent using XML markup grammar, step protocols, and structured return formats.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hf-l2-skill-synthesis
shynlee04
Use when synthesizing skills from GitHub repos, classifying skill patterns, building template libraries, generating eval frameworks, or creating eval-driven…
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l2-coordinating-loop
shynlee04
Coordinate multi-agent dispatch with validation gates and handoff protocols.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l3-detective
shynlee04
Investigate codebases with SCAN, READ, and DEEP reading modes.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l3-integration-contracts
shynlee04
Formal bidirectional contract authority between skills and agents.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l3-synthesis
shynlee04
Compress research findings into actionable artifacts with tiered reduction.
SkillCFreshness: C★ 51Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get gate-l3-evidence-truth running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
gate-l3-evidence-truth skill. Agent Mart. https://agentmart.dev/skills/shynlee04-gate-l3-evidence-truth (last updated 2026-10-24)