CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

memory-bridge

Browse or compare wiki knowledge by originating AI tool. Use for cross-tool memory questions, tool-specific knowledge, or gap/diff analysis between Codex, Claude, Hermes, and other agents.

Quality

89%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, actionable skill body: concrete parsing rules, exact commands and output templates, a clearly sequenced workflow with a validation step and error-recovery fallback, and clean single-level organization. The residual gaps are minor — a concrete manifest-parsing command and slightly leaner output templates would push conciseness and actionability to the top anchor.

DimensionReasoningScore

Conciseness

The body is efficient: it opens with operational context (manifest provenance model), gives a command-parsing table, concrete source_type mappings, and exact output templates without explaining concepts Claude already knows. Minor trimming is possible (e.g., the diff-mode presentation template and example matrix rows are slightly padded), which keeps it just below the every-token-earns-its-place anchor of 5 and well above the noticeable-verbosity anchor of 3.

4 / 5

Actionability

Guidance is mostly executable: an exact grep pattern for frontmatter ("grep for ^(title|category|tags|updated:)"), a concrete search command ("rg -l \"<topic>\" <pages in tool set>"), precise set operations for diff, and an exact log-line format. Minor gaps remain — no concrete command for parsing .manifest.json (left as "for each source entry, extract..."), and the tool_pages map is written as pseudocode rather than a runnable snippet — so it fits the 4 anchor rather than the fully copy-paste-ready 5.

4 / 5

Workflow Clarity

The sequence is explicit and ordered: config resolution → read manifest/index → build source map → execute mode → validate (impl-validator with a concrete checklist) → log. It includes a genuine feedback loop ("Apply any issues it surfaces before presenting output") and error-recovery guidance (empty manifest fallback suggesting /wiki-history-ingest), matching the top anchor for clear sequence with explicit validation and checkpoints. The only softness is that the validation step is conditional on impl-validator being available, but the core steps themselves are unambiguous and checkpointed.

5 / 5

Progressive Disclosure

The single-file body is well organized with clear sections (Before You Start, Commands, Steps 1-4, Output Conventions) and nothing that clearly belongs in a separate file — all inline content is runtime-operational. External references are well-signaled and one level deep (the Config Resolution Protocol in llm-wiki/SKILL.md and the impl-validator skill), with no nested reference chains, matching the clear-organization top anchor.

5 / 5

Total

18

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description with explicit what and when clauses, concrete actions, natural trigger terms, and a clearly distinct niche. Its only weakness is that it undersells part of the skill's capability set (search and map modes are not mentioned).

DimensionReasoningScore

Specificity

The description lists several concrete actions — "Browse or compare wiki knowledge by originating AI tool" and "gap/diff analysis" — matching the anchor for several specific actions with minor gaps in coverage (it omits the map/matrix and topic-search modes the skill also supports). It is not a 5 because coverage of the full capability set is incomplete, and not a 3 because more than 1-2 actions are named concretely.

4 / 5

Completeness

Both parts are explicit: the "what" is "Browse or compare wiki knowledge by originating AI tool" and the "when" is a concrete "Use for..." clause enumerating trigger scenarios and tool names. This matches the top anchor for clearly answering both what and when with concrete trigger phrases; a 4 would require the when-clause to be less explicit, which it is not.

5 / 5

Trigger Term Quality

Natural trigger phrases are present: "cross-tool memory questions", "tool-specific knowledge", "gap/diff analysis", plus named tools users would actually mention ("Codex, Claude, Hermes"). A few natural variations are missing (e.g., "which AI wrote/knows this page", "wiki provenance"), keeping it below the comprehensive-synonym coverage of a 5.

4 / 5

Distinctiveness Conflict Risk

The niche is distinct — filtering wiki knowledge by originating AI tool with named tools — and the triggers (cross-tool memory, gap/diff between Codex/Claude/Hermes) are unlikely to fire for other skills. Minimal conflict risk, matching the clear-niche anchor.

5 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

Ar9av/obsidian-wiki

Path

.skills/memory-bridge/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.