build-evidence-map — GitHub Copilot skill
Builds an auditable evidence map for a disputed decision while retaining support, counterevidence and gaps. Use it when a prose summary would hide disagreement.
npx skills add github/awesome-copilot --skill build-evidence-mapWhat build-evidence-map does
This skill turns one contested question into a decision map with a provisional position. It separates reasoning into position, claim, evidence, and unknown nodes, then labels edges as supports, contradicts, qualifies, or missing. Each source records a bounded passage, dates, and a section, page, line, or timestamp locator.
The result is UTF-8 JSON with a .doubt.json suffix and follows references/map-schema.md. Run scripts/validate.mjs with Node.js 18 or newer; a map counts as valid only when the command exits 0, prints VALID, and returns a 64-character receipt. Structural validation does not prove the verdict, so source and inference quality still need human review.
HTML rendering through doubt map is available only when [email protected] is already installed. Check that dependency before planning an HTML deliverable. The skill permits doubt verify for HTTP(S) source snapshots only after explicit network permission.
What it helps with
- map evidence for a disputed technical choice
- retain counterevidence against a current verdict
- attach claims to exact source passages
- record decision-changing unknowns
- validate a JSON evidence map before reporting it
Example prompts for the agent
- Use build-evidence-map for this decision: should we adopt this technical option?
- Build an evidence map from the project materials, save it as `decision.doubt.json`, and run the validator.
- Mark conflicting sources with `contradicts` edges and record unresolved facts as `unknown` nodes.
How to install build-evidence-map
1Skills CLI (Vercel)
npx skills add github/awesome-copilot --skill build-evidence-map2GitHub CLI
gh skill install github/awesome-copilot build-evidence-map3Manually: put the files in place
.github/skills/build-evidence-map/SKILL.md1Skills CLI (Vercel)
npx skills add github/awesome-copilot --skill build-evidence-map -a claude-code2Manually: put the files in place
~/.claude/skills/build-evidence-map/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/build-evidence-map/
Manually: put the files in place
.agents/skills/build-evidence-map/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/build-evidence-map/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
Platform CLI
gemini skills install https://github.com/github/awesome-copilot --path skills/build-evidence-mapManually: put the files in place
.devin/skills/build-evidence-map/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set554
The whole set →Similar
Questions about build-evidence-map
How do I install build-evidence-map in GitHub Copilot?
Run npx skills add github/awesome-copilot --skill build-evidence-map. The skill file is then located at .github/skills/build-evidence-map/SKILL.md.
What does build-evidence-map do?
It creates an auditable JSON map for one contested question. The map keeps the current position, supporting material, counterevidence, qualifications, and missing facts visible.
What is required to validate or render a map?
scripts/validate.mjs requires Node.js 18 or newer. HTML rendering with doubt map requires [email protected] to be installed already, and HTTP(S) verification needs explicit network permission.
Source text
SKILL.md · MIT
--- name: build-evidence-map description: 'Build an auditable evidence map for a contested technical choice, research synthesis, proposal review, or consequential decision. Use when Copilot must preserve supporting, contradicting, qualifying, and missing evidence with exact source regions instead of collapsing disagreement into prose.' --- # Build Evidence Map Turn one contested question into a portable decision artifact that shows what supports the current position, what pushes against it, and what remains unknown. Do not use a graph to decorate an answer that has not been sourced. For a simple factual claim or a general fact-checking request, use a verification workflow such as `doublecheck` instead. Use this skill when the relationships between evidence, intermediate claims, trade-offs, and missing facts matter. ## Workflow 1. **Frame one decision.** Write one falsifiable question and one provisional position. Narrow the question until a reader can identify what action or belief the map is testing. 2. **Collect bounded source regions.** Prefer direct observations and primary sources. Record the URL or absolute local path, publisher, publication date, retrieval date, section/page/line/timestamp locator, and a short checkable excerpt. Read [references/evidence-ladder.md](references/evidence-ladder.md) when source quality is disputed. 3. **Atomize the reasoning.** Create only four node types: - `position`: the single current verdict; - `claim`: an intermediate proposition; - `evidence`: a faithful statement of one source region; - `unknown`: a specific missing fact that could change the verdict. 4. **Type every edge.** Use `supports`, `contradicts`, `qualifies`, or `missing`. Add a plain-language note explaining why the source node bears on the target. Topical similarity is not support. Different scope, date, or population is not automatically a contradiction. 5. **Preserve counterevidence.** Do not delete contrary evidence because the provisional verdict survives it. Represent scope differences with `qualifies` edges. 6. **Express uncertainty structurally.** Do not invent confidence percentages. Add an `unknown`, narrow the position, or qualify a claim. 7. **Write UTF-8 JSON** with a `.doubt.json` suffix. Follow [references/map-schema.md](references/map-schema.md). Keep IDs short, stable, and semantic. 8. **Validate fail-closed.** Resolve `scripts/validate.mjs` relative to this `SKILL.md`, then run it with Node.js 18 or newer: ```bash node <skill-directory>/scripts/validate.mjs decision.doubt.json ``` The bundled validator uses only Node.js built-ins and does not require npm or network access. Fix every finding before reporting success. Only say the map is valid when the command exits `0` and prints `VALID` followed by a 64-character receipt. A file hash, node count, JSON parse, or manual schema review is not a Doubt receipt. If deterministic validation cannot run, report that block instead of inventing success. Render the validated map only when the user has already installed `[email protected]`; do not install or execute a remote package implicitly: ```bash doubt map decision.doubt.json --out decision.html ``` 9. **Verify source snapshots only with explicit network permission.** The following command retrieves each recorded HTTP(S) source and fails closed if an excerpt cannot be matched: ```bash doubt verify decision.doubt.json \ --out decision.verified.doubt.json ``` Never run this command implicitly. Local file verification does not use the network. Do not write a `verification` object by hand or hide a mismatch. 10. **Inspect the deliverable.** Confirm that the question, verdict, counterevidence, unknowns, edge notes, and exact source regions remain readable. Treat JSON as the canonical editable artifact; HTML is a shareable view. ## Quality gates A finished map must satisfy all of these: - exactly one `position` has incoming reasoning; - every evidence node names one source and participates in an edge; - every source is used and has dates, a bounded locator, and a substantive excerpt; - every non-position node has a directed path to the position; - the reasoning graph has no duplicate edges or directed cycles; - contrary or qualifying evidence is present when the source set contains it; - each decision-changing gap is an explicit `unknown` node; - every edge note explains support, contradiction, qualification, or absence; - the verdict is no broader than the evidence. ## Deliver the result Report: - the current position in one sentence; - the strongest counterevidence or qualification; - the most important unresolved unknown; - paths to the canonical JSON and any rendered HTML; - whether deterministic validation and explicit source verification ran. Never describe a structurally valid map as proven true. Validation establishes traceability and graph integrity; source quality and inference quality still require human review.
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