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Install
$ agentstack add skill-agentlas-ai-hephaestus-skill-lifecycle-promotion ✓ 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.
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Skill Lifecycle Promotion
Use this skill when a generated or packaged Agentlas repo needs governed skill promotion metadata.
Procedure
- Add
.agentlas/skill-registry.jsonas an export-only candidate registry. - Add empty
.agentlas/skill-trials.jsonland
.agentlas/curator-decisions.jsonl.
- Keep every skill at
tier: candidateon export. - Keep
runtimeFirstClassRecallEnabled: falseunless a local Curator later
approves promotion.
- Add success predicates and situation tags for every skill.
- Separate
## Memory Eventsfrom## Skill Trial Events. - Treat LLM rubric review as weak evidence only.
- Block promotion when authority separation, sealed holdouts, replayability, or
rollback evidence is missing.
- Include false-accept, blind-spot, and drift terms in any durable-error budget.
Output
Return:
- registry files added or checked;
- promotion tier status;
- evidence gaps;
- rollback/quarantine status;
- residual risks.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: agentlas-ai
- Source: agentlas-ai/Hephaestus
- License: Apache-2.0
- Homepage: https://agentlas.cloud
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.