DC mcp-orchestral
MCP Server Orchestral Integration - Integriert den fortgeschrittenen MCP Server mit 27-28 Super-Agenten in das Super-Skill-Ökosystem. Ermöglicht DeepMaster-Agent-Orchestrierung, Flowise-Integration, MongoDB-Management und Multi-Agenten-Koordinierung.
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.
Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.
The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 25
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high Obfuscation
uni-zero-width2026-02-05-skill-creation.md:9Zero-width / invisible characters (possible hidden text) (3 occurrences)user: erstelle diese skills Noch zu erstellen: ContextMaster - Kontext-Verständnis CreativeBoost – Kreativität Fehleranalyse␀ UserAdaptation - Benutzeranpassung…
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high Dangerous commands
cmd-pipe-to-shellAdministrator_Guide.md:71Downloads and executes remote code from an unrecognised host (pipe to shell)curl -sfL https://get.k3s.io | sh -
Medium and low: 23
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medium Secrets in code
secret-labelled-tokenCode-Assistenten Anleitung_ n8n MCP Server mit UI.md:1502Labelled token / key literal (vendor format unknown — verify it is not a live credential)SECRET_KEY=n8n-…ion
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medium Dangerous commands
cmd-privilegeDeepALL RAG – Ubuntu Sandbox System.md:730Privilege escalation / world-writable permissionssudo bash scripts/install_rootless_docker.sh
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medium Dangerous commands
cmd-privilegeDEPLOYMENT_GUIDE.md:115Privilege escalation / world-writable permissionssudo chown -R clawd:clawd /home/clawd/clawd
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medium Dangerous commands
cmd-privilegeDEPLOYMENT_GUIDE.md:569Privilege escalation / world-writable permissionssudo chown -R clawd:clawd /home/clawd/clawd
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low Dangerous commands
cmd-cron-mentionAUTOMATION_GUIDE.md:306Mentions editing / listing crontabcrontab -e
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low Dangerous commands
cmd-cron-mentionAUTOMATION_GUIDE.md:345Mentions editing / listing crontabcrontab -l
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low Secrets in code
secret-password-literalCode-Assistenten Anleitung_ n8n MCP Server mit UI.md:1502Hard-coded password / key literal (may be an example)SECRET_KEY=n8n-…ion
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low Exfiltration
read-dotenvCode-Assistenten Anleitung_ n8n MCP Server mit UI.md:1507Reads a .env filewith open('.env', 'w') as f: -
low Secrets in code
secret-password-literalDeepALL RAG – Ubuntu Sandbox System.md:194Hard-coded password / key literal (may be an example)API_KEY=supe…123
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low Exfiltration
read-dotenvDeepALL RAG – Ubuntu Sandbox System.md:386Reads a .env filecp .env.example .env
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low Secrets in code
secret-password-literalDeepALL RAG – Ubuntu Sandbox System.md:393Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)curl -H "x-api-key: supe…123" http://SERVER:8088/health
quoted -
low Secrets in code
secret-password-literalDeepALL RAG – Ubuntu Sandbox System.md:397Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)-H "Content-Type: application/json" -H "x-api-key: supe…123" \
quoted -
low Secrets in code
secret-password-literalDeepALL RAG – Ubuntu Sandbox System.md:406Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)curl -H "x-api-key: supe…123" http://SERVER:8088/sandboxes/sandbox-XXXXX/logs
quoted -
low Secrets in code
secret-password-literalDeepALL RAG – Ubuntu Sandbox System.md:409Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)curl -X DELETE -H "x-api-key: supe…123" http://SERVER:8088/sandboxes/sandbox-XXXXX
quoted -
low Exfiltration
read-dotenvDeepALL RAG – Ubuntu Sandbox System.md:727Reads a .env filecp config/.env.example config/.env
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low Secrets in code
secret-high-entropy-tokenDEEPSYNAPTICA_MULTI_AGENT_INTEGRATION_PLAN.md:54High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"real_g": "asst…PCY",
quoted -
low Secrets in code
secret-high-entropy-tokenDEEPSYNAPTICA_MULTI_AGENT_INTEGRATION_PLAN.md:55High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"si_agent": "asst…F8d",
quoted -
low Secrets in code
secret-high-entropy-tokenDEEPSYNAPTICA_MULTI_AGENT_INTEGRATION_PLAN.md:56High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"deepall_code": "asst…Nuy"
quoted -
low Secrets in code
secret-high-entropy-tokenDEEPSYNAPTICA_MULTI_AGENT_INTEGRATION_PLAN.md:65High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)export OPENAI_ASSISTANT_REAL_G="asst…PCY"
quoted -
low Secrets in code
secret-high-entropy-tokenDEEPSYNAPTICA_MULTI_AGENT_INTEGRATION_PLAN.md:66High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)export OPENAI_ASSISTANT_SI_AGENT="asst…F8d"
quoted -
low Exfiltration
read-dotenvDEPLOYMENT_GUIDE.md:564Reads a .env filesource /home/clawd/clawd/.env
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low Exfiltration
read-dotenvENHANCED_CLAWD_README.md:92Reads a .env filecp .env.template .env
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low Exfiltration
read-dotenvENHANCED_CLAWDBOT_2.0.0_ULTIMATE.md:92Reads a .env filecp .env.template .env
Files scanned: 78. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
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
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (mcp-orchestral) differs from the folder (clawdbot-knowledge)
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 71 steps
- 100Execution cost. Instruction body is 3374 tokens
- low 12 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
- +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
- -222 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 250: enough signal without eating the budget
- +4Structure: 44 headings
- +3Step-by-step instructions: 71 items
- +4Has examples (13 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.