evidence-tagging

Evidence-tag grammar and tagging discipline for paper artifacts. Preloaded into every agent that writes, audits, verifies or repairs a paper artifact (paper-writer, paper-critic, claim-verifier, refin

SKILL.md

GitHub

Evidence tagging

Every factual sentence you write into paper/ or final/ carries at least one inline evidence tag binding it to a run artifact:

Tag Grounds Example
[EV:score:<path.json>#<dotted.key>] a number Accuracy reaches 0.9852 [EV:score:best/eval.json#score].
[EV:log:<path>:L<n>[-L<m>]] an event/observation Training converged without errors [EV:log:best/solve.log:L2].
[EV:cite:<key>] prior work kNN error is bounded by twice the Bayes error [EV:cite:cover1967nearest].
[EV:artifact:<path>] existence/availability The full implementation is included [EV:artifact:best/solution.py].
[EV:config:<path.json>#<key>] a setup fact We ran 5 parallel branches [EV:config:run-config.json#branches].

Rules:

  1. Paths are run-directory-relative. The tag must resolve — ground_check.py opens the artifact and compares.
  2. Restate numbers exactly as they appear in the artifact (rounding within 0.5% and %-vs-fraction conversion are tolerated).
  3. One tag per fact; a sentence with two facts gets two tags.
  4. Cannot find an artifact for a statement? Then it is an assumption: move it under a ## Assumptions header, or delete it. Never leave an untagged factual sentence in the body — GROUND flags it UNSUPPORTED.
  5. Citation keys must already exist in bibliography.jsonl; a hook blocks unknown keys. You may not add bibliography entries yourself.
  6. Failed experiments are evidence too — tag them with their branch's eval.json/audit.md and report them honestly.