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Self Improving Intent Security Agent
by
Nishant Patil
· GitHub ↗
· v1.0.7
· MIT-0
193
Downloads
0
Stars
1
Active Installs
8
Versions
Install in OpenClaw
/install self-improving-intent-security-agent
Description
Documentation-first skill and workflow toolkit for intent-based security. Provides templates, examples, and local helper scripts for capturing intent, review...
Usage Guidance
This package appears to be a documentation-first toolkit and is internally consistent. Before using it: (1) inspect the included shell scripts (scripts/setup.sh, validate-intent.sh, scaffold-run.sh, report.sh) to confirm they only operate on local files and do not invoke network endpoints or run privileged commands in your environment; (2) run scripts in a controlled workspace (e.g., a disposable repo or container) the first time; (3) only provide NPM/C LAWHUB tokens to publishing workflows if you intend to publish the package—publishing credentials are optional and not required for the tool's local use; (4) if you plan to integrate these templates into an autonomous agent, consider restricting autonomous invocation or adding human approval gates for high-risk tasks. Overall the skill is coherent with its stated purpose, but standard caution (review scripts and package.json) is advised.
Capability Analysis
Type: OpenClaw Skill
Name: self-improving-intent-security-agent
Version: 1.0.7
The skill bundle is a documentation-centric toolkit designed to implement 'intent-based security' and auditing workflows for AI agents. It provides a structured framework for capturing user intent, validating actions against constraints, and logging anomalies or learnings into a local `.agent/` directory. Analysis of the included bash scripts (`setup.sh`, `report.sh`, `scaffold-run.sh`, and `validate-intent.sh`) confirms they perform only local file operations and string matching (grep) without any network activity, data exfiltration, or obfuscated execution. The instructions in `SKILL.md` and `CLAUDE.md` are strictly defensive, guiding the agent to follow safety protocols rather than attempting to bypass them.
Capability Assessment
Purpose & Capability
Name/description match the contents: extensive markdown docs, templates, examples, and small helper shell scripts for scaffolding, validating, and reporting. The requested artifacts (intent templates, violation logs, learning records) align with an intent-security documentation/tooling package.
Instruction Scope
SKILL.md limits runtime activity to local file operations (.agent/ tree) and explicitly instructs users to review scripts before running. The documented workflows focus on creating and validating local markdown files, logging, and reporting. There are no instructions to read unrelated system secrets or to exfiltrate data.
Install Mechanism
No install spec is provided (instruction-only skill), which reduces risk. Packaging as an npm project and references to publishing are only documentation for optional publishing; nothing in the runtime install path pulls arbitrary remote binaries or extracts archives.
Credentials
No required environment variables or credentials are declared. The SKILL.md and CLAUDE.md mention optional config env vars for tuning (paths, thresholds) but explicitly state credentials are not required and data remains local, which is proportionate for this skill's functionality.
Persistence & Privilege
Skill flags are default (always: false, user-invocable: true, model invocation allowed). The skill does not request permanent/always-on presence or attempt to modify other skills or system-wide configs; publishing automation references are optional and unrelated to runtime privilege.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install self-improving-intent-security-agent - After installation, invoke the skill by name or use
/self-improving-intent-security-agent - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.7
- Clarified that this skill is documentation-first and does not include a production runtime enforcement engine.
- Updated description and docs to emphasize templates, examples, and shell scripts for intent validation and audit workflows.
- Added prominent warnings that automation, enforcement, and anomaly detection must be implemented by the host agent or user.
- README and documentation restructured for clearer guidance on using templates and the provided workflow.
- Shell scripts and templates operated locally only; review scripts before use.
v1.0.6
- Added scaffold-run.sh script to automate creation of example/demo conversation workspaces.
- Introduced conversation-driven workflow and documentation, including new guidance in SKILL.md and quick-start guide.
- Added a full customer-feedback-demo example, including conversation transcript, violation, rollback, and learning logs.
- Expanded documentation and usage examples for real-world, audit-friendly agent runs.
- Updated setup steps and quick-start instructions to make it easier to get started and use demos.
v1.0.5
Add comprehensive Clawhub publishing & security learnings to CLAUDE.md: document security scan triggers, before-publishing checklist, scan response patterns, and trust signals for future maintainers
v1.0.4
Fix hooks directory inconsistency: remove non-existent hooks/ from package.json files array, update documentation to clarify hooks are optional and user-created (not included with this skill)
v1.0.3
Fix security scan issues: clarify all environment variables are optional (not required), add security notes documenting no credentials needed and no data transmitted externally, replace [your-org] placeholder with nishantapatil3 in documentation
v1.0.2
Fix install cmd
v1.0.1
Fix metadata inconsistency in SKILL.md
v1.0.0
Initial release of self-improving-intent-security-agent
- Validates every action against user intent before execution, blocking and logging violations.
- Provides automatic rollback of actions if intent is violated, supporting checkpoint creation and manual intervention.
- Monitors for behavioral anomalies, logging and responding to deviations, misuse, or excessive resource consumption.
- Captures structured learning after task completion to continually improve future performance and strategies.
- Maintains full audit trail of intents, violations, anomalies, learnings, and rollbacks for transparency and review.
- Supports human approval for high-risk operations and includes a method for evolving strategies based on A/B testing and observed results.
Metadata
Frequently Asked Questions
What is Self Improving Intent Security Agent?
Documentation-first skill and workflow toolkit for intent-based security. Provides templates, examples, and local helper scripts for capturing intent, review... It is an AI Agent Skill for Claude Code / OpenClaw, with 193 downloads so far.
How do I install Self Improving Intent Security Agent?
Run "/install self-improving-intent-security-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Self Improving Intent Security Agent free?
Yes, Self Improving Intent Security Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Self Improving Intent Security Agent support?
Self Improving Intent Security Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Self Improving Intent Security Agent?
It is built and maintained by Nishant Patil (@nishantapatil3); the current version is v1.0.7.
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