Decode KCL payloads into model-ready context with security constraints.
npx skills add https://github.com/orochi-network/khala --skill kcl-read
Please help me install this Agent Skill. Skill: kcl-read Source: https://github.com/orochi-network/khala/tree/main/skills/kcl-read Command: npx skills add https://github.com/orochi-network/khala --skill kcl-read
KCL-encoded payloads are compact and not human-readable, so this Skill decodes Khala Context Language into a model-ready working context to avoid misinterpretation and manual extraction of frames, deltas, and directives.
Read the pasted KCL block and integrate its context, then report the active role, constraints, key facts, and any directives now in force.
High-intent search queries and answers about installing and using this skill.
To decode KCL payloads, apply bootstrap-aware parsing rules to .kcl files or inline frames, extracting headers, deltas, and directives to generate a model-ready working context.
Khala Context Language encodes compact session payloads into headers, frames, and deltas. Decoding it prevents manual extraction errors and structures the input as actionable context for LLMs.
Extract headers and deltas by loading the KCL bootstrap to resolve symbol tables, then applying tiered decoding rules to the fenced block to isolate history entries and directives.
Yes, parsing user-provided KCL frames is safe when the decoder enforces trust boundaries, sanitizes NL escapes, and prevents role escalation to mitigate prompt injection risks.
Excessive KCL delta chains are flagged as unreliable because long sequential deltas increase the risk of cumulative data drift, making the reconstructed working context less trustworthy for the LLM.
Yes, KCL decoding requires loading the bootstrap first to resolve tier semantics and symbol tables, ensuring accurate parsing of inline frames, checkpoints, and directives.
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