Install
$ agentstack add skill-ceilf6-frontagent-skill-lifecycle ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README — it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Skill Creator
Use this skill when the user wants to work on content skills themselves — creating, evaluating, improving, or benchmarking them.
Trigger
- Requests to create a new content skill
- Requests to improve or benchmark an existing skill
- Requests to reduce false positives or false negatives in skill triggering
- Requests to compare the current skill against a revised candidate
Workflow
- Read
references/workflow.mdto choose the right Skill Lab sequence. - Read
references/eval-guidelines.mdbefore creating or editing trigger evals. - If the skill does not exist yet, scaffold a new skill package (e.g.
frontagent skill scaffold). - If the skill does not yet have evals, initialize trigger evals (e.g.
frontagent skill init-evals). - If behavior quality matters, initialize behavior evals (e.g.
frontagent skill init-behavior-evals). - Run a benchmark before making changes (e.g.
frontagent skill benchmark). Use--behaviorwhen behavior evals are available. - When improvement is requested, generate a candidate and compare it with baseline (e.g.
frontagent skill improve). Use--behaviorto include behavior scoring. - Only apply a candidate when the benchmark clearly improves and the user wants promotion (e.g.
frontagent skill promoteor--apply-if-better).
> Platform-specific commands listed above use the frontagent skill CLI. See ADAPTATION.md for how to map these steps to a different platform.
Output Contract
- Keep the user informed of:
- where eval files live
- where candidate skills were written
- whether benchmark scores improved
- Prefer benchmark-backed recommendations over intuition.
- Treat the skill package itself as the artifact under iteration:
SKILL.mdagents/openai.yaml- existing
references/andassets/
Guardrails
- Do not trust starter evals blindly. Encourage editing them toward real prompts before strong conclusions.
- Do not auto-apply candidates unless the user requested it or the command explicitly says to do so.
- Do not silently broaden a skill's scope just to improve trigger rate.
- Prefer preserving existing references/assets over inventing new file paths.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ceilf6
- Source: ceilf6/FrontAgent
- License: MIT
- Homepage: https://marketplace.visualstudio.com/items?itemName=ceilf6.frontagent
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.