SKILLEMALL.ai

BC coc-soul

Give an AI agent a persistent on-chain soul — register and manage a decentralized identity (DID), encrypt and anchor agent state to IPFS + SoulRegistry, configure guardians for social recovery, and enable cross-carrier resurrection so the agent can resume on a different device if the host dies. **Pairs with `claw-mem2db` to deliver "digital / silicon-based persistence" for AI agents**: when claw-mem is co-installed, every backup automatically captures claw-mem's chat history + tool-call observations + session summaries as a token-budgeted semantic snapshot, so an agent recovered on a fresh host can replay its memory context — not just its files. Soul also runs fully standalone (without claw-mem), in which case backups still cover identity / config / workspace / chat files but skip the semantic snapshot. Use when the user wants their AI agent to survive device loss, transfer ownership, delegate capabilities, run a guardian / carrier node, inspect on-chain identity state, or get persistent cross-device memory paired with claw-mem. Zero-config on COC testnet — installation auto-generates an EOA keystore (~/.claw-mem/keys, shared with claw-mem; or $OPENCLAW_STATE_DIR/coc-soul/keys in sandboxed hosts), auto-drips testnet COC from the public faucet for gas, and pre-fills RPC + IPFS + contract addresses for the live testnet. The first `openclaw coc-soul backup init` works with no manual setup.

ClawHub Agent Skills author: Meshes & Parallels v1.2.10 MIT-0 7 files body ≈ 4 665 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
98
Quality 40%
50
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Risky intent intent-wallet-secrets references/backup.md:40
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (detector / deny-list definition)
    The `--password` clause appears only when `encryption mode = password`. In `privateKey` mode, the operator must instead make sure the right key is loaded on the target host (either by copying the keys
    detector
  • low Exfiltration net-credential-use references/config.md:158
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    | Unexpected key source loaded | env var override winning over config | Print `openclaw coc-soul did keys --agent-id <id>` to confirm; check `$COC_SOUL_KEYSTORE_PATH` and `$OPENCLAW_STATE_DIR` |
    security skill

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1409 chars, limit 1024
  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Give an AI agent a persistent on-chain soul — register and manage … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

Process rating: all ten parameters 58/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 9 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 4665 tokens
  • 100Steps. 50 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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)
  • +3Description length 1409: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 50 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 50.

External checks

ClawHub: suspicious
The skill fits its backup and recovery purpose, but it needs review because it can create keys and automatically back up sensitive agent data to IPFS and on-chain records with weak scoping and encryption guidance.
LLM: suspicious (high) · VirusTotal: · 29 May 2026