ARK — Adaptive Regulative Kriptos (V1 Declarative)
v1.1.2ARK V1.1 (Declarative) — universal constitutional layer. Loads ARK.yaml from this skill folder.
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
Name/description state the skill loads a local ARK.yaml constitutional ruleset; the SKILL.md instructs exactly that (open and read ARK.yaml, treat it as authoritative). There are no unrelated env vars, binaries, or install steps requested — capability requests are proportionate to the stated purpose.
Instruction Scope
SKILL.md and ARK.yaml restrict the agent to reading and applying the YAML as a declarative prompt-level constitution. ARK.yaml contains an activation/workflow block that directs the agent to audit the YAML, generate a structured preface and single proposal-at-a-time remediation suggestions, and to 'activate' conceptual tracers (TRK/..., ILR_...). These are consistent with the skill's auditing purpose, but there is a minor ambiguity: the skill repeatedly instructs 'do not modify ARK.yaml' while also asking the agent to 'generate a structured preface to be positioned at the beginning of the ARK file.' The YAML clarifies that the AI must not apply changes itself and that the Foundational Interlocutor must manually apply modifications, which resolves much of the tension. The instructions do not request reading other files, environment variables, or external endpoints.
Install Mechanism
No install spec, no downloads, and no code files to execute. Instruction-only skills are lowest-risk for disk writes — nothing is installed or fetched by the skill itself.
Credentials
The skill requests no environment variables, no credentials, and no config paths. All required data is confined to the included ARK.yaml and local skill files; that is proportional to a local ruleset/auditing skill.
Persistence & Privilege
always:false and no install means the skill does not demand permanent presence or system-level privileges. It does ask the agent to adopt a constitutional layer for the session (declarative/prompt-level), which is expected for this kind of governance skill. Autonomous invocation is allowed by platform default but not uniquely requested here; the skill does not request modifications to other skills or system-wide settings.
Assessment
This skill is an instruction-only 'constitutional' layer that asks the agent to read and apply a local ARK.yaml ruleset; it does not request credentials, install software, or contact external endpoints. Before installing, consider:
- Confirm you are comfortable with a session-level 'constitution' that will constrain agent outputs (confidence percentages, refusal behavior, ban on unrequested suggestions). This can change how the agent responds across tasks.
- The ARK.yaml asks the agent to audit itself and produce proposed edits (a preface and single-item remediation proposals) but also states the AI must not write changes to the file and that the human must apply changes manually — ensure your agent runtime will not automatically persist or apply generated edits.
- The YAML references many internal tracers and ILR IDs (conceptual labels). These are labels only; there is no code that implements them here. If other installed skills implement similarly named tracers, review for policy conflicts or duplicate naming.
- Because the skill can influence reasoning norms, review the first few outputs carefully to verify it behaves as you expect (it may refuse or downgrade answers that it deems 'important' by its rules).
- If you use autonomous agents, decide whether to allow this skill to be auto-invoked: it could change agent behavior across sessions. If you want to avoid unexpected cross-session behavior, do not grant it automatic invocation or monitor its first runs.
Overall, the package is internally consistent with its stated purpose; the main caution is about the operational impact of adding a declarative constitutional layer to an agent and ensuring generated edit proposals are reviewed and not auto-applied.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
