fact-check-before-trust
Triggers a secondary verification pass for any agent output containing factual claims, numbers, dates, or named entities before the output is acted on
git clone --depth 1 https://github.com/ArchieIndian/openclaw-superpowers /tmp/fact-check-before-trust && cp -r /tmp/fact-check-before-trust/skills/core/fact-check-before-trust ~/.claude/skills/fact-check-before-trustSKILL.md
# fact-check-before-trust
`verification-before-completion` checks that a task was *done*. This skill checks that the *facts are correct*. An agent confidently reporting a £716 visa fee as £70,000 will pass completion verification — this skill catches it.
## When to invoke
Invoke this skill before treating any agent output as authoritative when the output contains:
- **Numbers or money** (prices, quantities, measurements, statistics)
- **Dates and deadlines** (filing deadlines, release dates, expiry dates)
- **Named entities** (people, organisations, laws, product names)
- **Causal claims** ("X causes Y", "because of Z")
- **Superlatives** ("the largest", "the only", "the most recent")
Skip for: code output, file system operations, and clearly self-contained tasks (renaming a variable, formatting a document).
## Verification protocol
**Step 1 — Extract claims**
Identify every verifiable claim in the output. List them explicitly:
```
Claim 1: UK visa fee is £716
Claim 2: Processing time is 3 weeks
Claim 3: Applies to Tier 2 (Skilled Worker) visa category
```
**Step 2 — Score each claim**
For each claim, assign a confidence level:
- **High** — Agent has direct evidence in its context (read a document, fetched a URL)
- **Medium** — Agent inferred from training data (check recency)
- **Low** — Agent stated without citing a source
**Step 3 — Verify low/medium claims**
For each Low or Medium claim:
1. Search or re-fetch the source if possible
2. If source found: update confidence to High or mark **Contradicted**
3. If no source available: mark **Unverifiable**
**Step 4 — Classify output**
| Result | Meaning |
|---|---|
| ✓ Verified | All claims High confidence |
| ⚠ Uncertain | 1+ Unverifiable claims |
| ✗ Contradicted | 1+ claims conflict with found evidence |
**Step 5 — Surface to user**
- **Verified**: proceed
- **Uncertain**: surface unverifiable claims with a note
- **Contradicted**: stop, show the contradiction, do not use the output until resolved
## Difference from verification-before-completion
`verification-before-completion` checks: "Did the agent do the task?" (task completion)
`fact-check-before-trust` checks: "Is what the agent said true?" (output accuracy)
Both should be used for research, financial, legal, and compliance workflows.Syncs agent daily memory and MEMORY.md to an Obsidian vault so notes are human-browsable. Use nightly or on demand.
Structured ideation before any implementation. Use when starting any non-trivial task.
Scaffolds and validates new superpowers skills. Use when creating a new skill for this repository.
Executes plans task-by-task with verification. Use when implementing a plan.
Crawls a new codebase to infer stack, conventions, and key invariants, then generates a PROJECT.md context file for the agent
Handles PR review feedback by fetching comments, grouping issues, fixing one group at a time, and verifying before replies.
Detects skill name shadowing and description-overlap conflicts that cause OpenClaw to trigger the wrong skill or silently ignore one when two skills compete for the same intent.
Reviews whether a skill will trigger reliably, guide useful behavior, avoid overlap, and produce testable outcomes.