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AF session-closer

Structured end-of-session protocol for OpenClaw agents. Produces a complete, consistent journal entry at session close — summary, full file surface (read/written/external APIs), one self-caught failure delta, one behavioral fingerprint. Also runs pattern-update for any tracked behavioral patterns that fired this session. Use when a session ends, a task completes, or the user says 'log this,' 'log the session,' 'close out,' or 'write the journal.'

ClawHub Agent Skills author: High Noon Office v1.1.0 MIT-0 4 files body ≈ 1 313 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Structured end-of-session protocol for OpenClaw agents.

As a process F 35/100 · Will not run — References files that are not bundled: scripts/journal-writer.js, scripts/pattern-update.js

GeneratorPersonal productivityInfrastructureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/journal-writer.js, scripts/pattern-update.js
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/journal-writer.js
  • warning missing-ref reference to a missing file: scripts/pattern-update.js
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "config"
  • note frontmatter-key unknown frontmatter key "binaries"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/journal-writer.js, scripts/pattern-update.js
  • 0Tools and files. 2 referenced file(s) missing: scripts/journal-writer.js, scripts/pattern-update.js
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 12 mutating operations with no state check
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1313 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 450: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
The skill is transparent about session journaling, but it also tells the agent to push repository changes and send session details externally without enough user control.
LLM: suspicious (high) · 28 Aug 2026