Conciseness

The body is efficient and assumes competence — Ed25519, sha256, and canonicalization are used without tutorial preamble, and commands carry the weight. Minor over-explanation remains: the three 'NOT a hosted notary / NOT a legal opinion / NOT log analysis' paragraphs in the Overview partially duplicate the Anti-Patterns section and could be consolidated. This is anchor 4 (minor instances that could be trimmed) rather than 5.

Actionability

The Quick Start is fully executable: pip install, a complete script invocation with all flags, copy-paste mint and verify 'python -c' commands, and the expected verify output. Tables specify exact keys, the exit-2 rejection behavior, and the returned receipt fields. This matches anchor 5 (copy-paste ready, covers the common cases).

Workflow Clarity

The three decisions (decide → mint → verify) are clearly sequenced, with an explicit three-part test table and a validating build step that rejects malformed manifests (exit 2). The minor gap is error recovery: no explicit 'if verification fails, do X' loop, so it sits at anchor 4 rather than 5's explicit feedback loops.

Progressive Disclosure

The body is a genuine overview: the full receipt schema, canonicalization details, and post-quantum rationale are split into references/receipt-fields.md, signaled inline at the point of use and one level deep; the script (which exists in the bundle and is referenced with complete usage) carries the executable detail. This matches anchor 5.

Specificity

Names the domain and two concrete actions ("Builds a tamper-evident signed receipt with build_action_manifest.py and verifies it"), but coverage stops there — no mention of the manifest, signature legs, or offline verification that make up the skill's actual scope. This matches anchor 3 (1-2 concrete actions, not comprehensive) rather than 4, which expects several specific actions.

Completeness

Explicitly answers both questions: "Use when an autonomous agent takes a side-effecting action (deploy, delete, pay, grant access) that may need proving later, or for EU AI Act Art. 12 record-keeping" gives concrete when-triggers, and "Builds a tamper-evident signed receipt with build_action_manifest.py and verifies it" gives the what. This matches anchor 5; the when-clause is already specific, so it is not the weaker anchor 4.

Trigger Term Quality

Strong natural triggers users would actually say: "deploy, delete, pay, grant access", "proving later", and the compliance hook "EU AI Act Art. 12 record-keeping". A few common synonyms (audit trail, accountability, evidence, compliance) are missing, matching anchor 4 rather than 5's comprehensive synonym coverage.

Distinctiveness Conflict Risk

A clear niche — tamper-evident signed receipts for consequential autonomous-agent actions — with distinct trigger verbs and a compliance hook that logging, audit, or general governance skills would not match. Minimal conflict risk, matching anchor 5.