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BF 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, reviewing actions, documenting rollbacks, and recording learnings. Use when: (1) designing or prototyping intent validation workflows, (2) documenting high-risk operations, (3) creating audit trails and rollback records, (4) building your own runtime enforcement layer.

ClawHub Agent Skills author: Nishant Patil v1.0.7 MIT-0 35 files · 4 scripts body ≈ 4 630 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 43/100 · Will not run — References files that are not bundled: references/hooks-setup.md, references/api.md, scripts/intent-capture.sh

ProcedureInfrastructureAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
73
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: references/hooks-setup.md, references/api.md, scripts/intent-capture.sh
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security references/architecture.md:666
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Privilege escalation (agent expands permissions)

Files scanned: 35. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/hooks-setup.md
  • warning missing-ref reference to a missing file: references/api.md
  • warning missing-ref reference to a missing file: scripts/intent-capture.sh
  • warning missing-ref reference to a missing file: scripts/action-validator.sh
  • warning missing-ref reference to a missing file: scripts/learning-capture.sh
  • warning missing-ref reference to a missing file: references/multi-agent.md

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: references/hooks-setup.md, references/api.md, scripts/intent-capture.sh
  • 0Tools and files. 6 referenced file(s) missing: references/hooks-setup.md, references/api.md, scripts/intent-capture.sh
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 70Execution cost. Instruction body is 4630 tokens
  • 100Steps. 90 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 25 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
  • -33 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 420: enough signal without eating the budget
  • +4Structure: 49 headings
  • +3Step-by-step instructions: 90 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (3 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a local documentation and template toolkit, with the main risk being overstated safety language rather than hidden malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026