SKILLEMALL.ai

AB what-did-i-lose-in-compaction

What did I lose in context compaction that I must not forget? What happened before my context was cut? Use this right after a compaction notice, at the start of a resumed session, when an earlier result seems missing from your context, and before retrying anything a summary says failed. Rebuilds from the local ledger what happened before the compaction: hosts contacted, what is blocked or rate-limited for you, failed actions, silent failures (tool said ok, wire said no), undelivered messages, routes that worked, and the last actions before the cut. Returns a MUST NOT FORGET list. Do not use as a general summary of a short session that was never compacted.

ClawHub Agent Skills author: aeneassoft v1.0.1 MIT-0 2 files body ≈ 1 292 tokens Open the sourceclawhub.ai↗ analyzed 10 d ago

What did I lose in context compaction that I must not forget?

As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, running it twice

ProcedureWriting and documentsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
B
70/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

    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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 70/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 8 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 31 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1292 tokens
    • 100Progress reporting. Reports progress

    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
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 663: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 31 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    The skill is a coherent compaction-recovery helper, but users should understand it relies on enabling a local ledger plugin.
    LLM: benign (high) · VirusTotal: · 21 Sept 2026