CtrlK
BlogDocsLog inGet started
Tessl Logo

openclaw-history-ingest

Ingest OpenClaw agent history into the Obsidian wiki. Use this skill when the user wants to mine their past OpenClaw sessions for knowledge, import their ~/.openclaw folder, extract insights from previous OpenClaw conversations, or says things like "process my OpenClaw history", "add my OpenClaw sessions to the wiki", "ingest ~/.openclaw", or "what have I worked on in OpenClaw". Also triggers when the user mentions OpenClaw session logs, MEMORY.md, daily notes, or ~/.openclaw/workspace.

72

Quality

88%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%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-organized, highly actionable multi-step ingest skill: exact paths, concrete commands, a privacy filter, and manifest/sync bookkeeping. Its main gaps are the absence of a validation checkpoint over the vault writes themselves (verification loops exist only for the QMD index) and a body length with sections that could be pushed into the existing reference file.

Suggestions

Add a post-write validation step after Step 6 (e.g., re-read one created/updated page to confirm frontmatter and provenance markers landed correctly) so the batch-write operation has a checkpoint over the vault itself, not just the QMD index.

Move the QMD refresh procedure and/or the .manifest.json summary JSON block into references/openclaw-data-format.md (or a small reference file), keeping SKILL.md to the trigger conditions and a one-line command summary.

Trim the opening restatement of purpose and phrases like 'plain markdown, human-readable and human-editable' that restate what the reader can infer from the data-layout tree.

DimensionReasoningScore

Conciseness

The body is dense operational instruction — an exact data-layout tree, a ranked source list, concrete commands — and mostly assumes competence (it never explains what JSONL or Obsidian is). Minor over-explanation remains, e.g., "It is plain markdown, human-readable and human-editable" and the restatement of the skill's purpose in the opening paragraph that duplicates the description. Fits the score-4 anchor ('efficient; minor instances that could be trimmed'), not 5 because of those small padded spots, and clearly not 3 since nothing teaches Claude concepts it already knows.

4 / 5

Actionability

Guidance is concretely executable: exact paths to scan ("~/.openclaw/agents/*/sessions/*.jsonl"), a literal JSONL record example, explicit manifest fields (ingested_at, source_type, pages_created), ready-to-run commands ("${QMD_CLI:-qmd} update", "obsidian-wiki memory sync OPENCLAW_HISTORY_INGEST ... --takeaways \"...\""), and concrete YAML frontmatter values (base_confidence: 0.42, lifecycle: draft). Per the scoring note for instruction-only skills, the absence of parsing code is not penalized because the extraction rules are specific. Matches the score-5 anchor: copy-paste-ready commands covering the common cases.

5 / 5

Workflow Clarity

Steps 1-7 are clearly sequenced with pre-flight context (config resolution, manifest/index reads), a delta survey checkpoint ("Report a concise delta summary before deep parsing"), and explicit QMD verification with error-recovery handling ("If QMD refresh fails, do not roll back the vault changes; report the QMD status separately"). However, this is a batch write operation and there is no validation that the wiki pages written in Step 6 are correct or that the privacy filter was actually applied — the verification loops exist only for the QMD index, not the vault writes. That fits score 4 ('most checkpoints present; minor validation gaps') better than 5.

4 / 5

Progressive Disclosure

The single bundle reference ("See `references/openclaw-data-format.md` for field-level notes and parsing guidance") is clearly signaled, one level deep, and verified to exist; field-level parsing detail is correctly deferred to it. But the body itself runs ~250 lines with sections (the full manifest JSON block, the QMD refresh procedure, the writing-profile preamble) that could partly live in references, and it leans on external pointers ("llm-wiki/SKILL.md", ".skills/llm-wiki/references/MEMORY.md") not present in this bundle. Good structure with minor organization gaps — the score-4 anchor.

4 / 5

Total

17

/

20

Passed

Description

95%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: third-person, explicit 'Use this skill when' trigger guidance with quoted natural phrases, and a well-defined OpenClaw-specific niche. The only weakness is that the action list stays at the level of 'ingest/import/extract' without hinting at the downstream clustering and privacy-filtering behavior that distinguishes the skill's output.

DimensionReasoningScore

Specificity

The description lists several concrete actions — "Ingest OpenClaw agent history into the Obsidian wiki", "mine their past OpenClaw sessions for knowledge", "import their ~/.openclaw folder", "extract insights from previous OpenClaw conversations" — but they are all variations of the single ingest action, so coverage has minor gaps (e.g., clustering topics into wiki pages, privacy filtering). This matches the score-4 anchor ('several specific actions; minor gaps') and is below score 5 because it never mentions the downstream distillation/clustering outcomes, while clearly above score 3 because more than 1-2 distinct concrete actions are named.

4 / 5

Completeness

It opens with a clear third-person 'what' ("Ingest OpenClaw agent history into the Obsidian wiki") and follows with an explicit 'Use this skill when..." clause listing concrete trigger phrases and paraphrases. Both what and when are explicitly answered, matching the score-5 anchor exactly (mirroring the good example 'Extract text and tables from PDF files... Use when working with PDF files').

5 / 5

Trigger Term Quality

Quoted natural phrases users would actually say — "process my OpenClaw history", "add my OpenClaw sessions to the wiki", "ingest ~/.openclaw", "what have I worked on in OpenClaw" — plus technical nouns (session logs, MEMORY.md, daily notes, ~/.openclaw/workspace). This comprehensively covers natural synonyms and path-based triggers, matching the score-5 anchor; score 4 would require missing natural variations, which is not the case.

5 / 5

Distinctiveness Conflict Risk

The OpenClaw qualifier on every trigger phrase ("OpenClaw history", "OpenClaw sessions", "~/.openclaw") carves out a clear niche with minimal conflict risk against non-OpenClaw ingest skills. Mentions of "MEMORY.md" and "daily notes" create only a slight overlap with sibling wiki-history-ingest variants, but they are framed as OpenClaw artifacts; fits the score-5 anchor ('clear niche with distinct triggers').

5 / 5

Total

19

/

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
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.