SKILLEMALL.ai

AC session-bridge

Use when context is lost after switching surfaces (Telegram to WhatsApp, TUI to Telegram), when handing off tasks between agents (Jon → Eddie, Cipher → Eddie), when an agent needs to know what was discussed in another session, or when you want to resume a conversation on a new surface. Triggers on "catch me up", "what were we working on", "pass this to Eddie", "context switch", "session handoff", "I'm on TUI now", "continue from where we left off".

ClawHub Agent Skills author: codeinonenight v1.0.0 MIT-0 3 files body ≈ 1 643 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ReferenceTelegramWhatsAppAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 51/100

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1643 tokens
    • 100Progress reporting. Reports progress
    • low 10 top-level sections: this looks like several domains in one skill

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 452: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 10 items
    • +4Has examples (16 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    Session Bridge is a disclosed local handoff helper that stores short context capsules on disk and does not show hidden sharing, credential access, or unsafe automatic behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026