Agent skill · Audited from source
caveman-manage
skill · juliusbrussee/cavemanApache-2.0 licenceAudited 31 Oct 2026 · source ee5548342062
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit ee5548342062 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Inspect Caveman Cloud's experiment lifecycle and block unsafe execution. Use when asked to start, approve, cancel, promote or roll back a Caveman experiment.
Cite
Cite this page
ModelsAtlas. “caveman-manage (juliusbrussee/caveman)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/juliusbrussee/caveman-manage
Trust audit
Audit 0.4.1 · source read 31 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha ee5548342062 · 31 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publisherjuliusbrussee GitHub userOwner of the repository this skill is read from
- Source folderjuliusbrussee/caveman/skills/caveman-manageThe exact folder we audited
- LicenceApache-2.0As the repository states it
- Commit pinned for this verdictee5548342062A new audit runs when the source changes
- Repository statusNot archivedPushed today
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Inspect Caveman Cloud's experiment lifecycle and block unsafe execution. Use when asked to start, approve, cancel, promote or roll back a Caveman experiment.
---
name: caveman-manage
description: >
Inspect Caveman Cloud's experiment lifecycle and block unsafe execution. Use
when asked to start, approve, cancel, promote or roll back a Caveman
experiment.
---
# Manage eval-gated experiments
Treat every lifecycle change as a production control action. Read current state
and results, then report one supported recommendation or block.
Current agent MCP is intentionally read-only: control-api does not yet enforce a
complete lifecycle transition table and evidence gate atomically.
## Non-negotiable gates
1. A request to review, inspect, explain, or recommend authorizes reads only.
2. Never approve an experiment whose results are pending, whose required
guardrails are absent, or whose evidence reports a breach.
3. Never convert experiment lift into `verified_savings`. Only active real
traffic plus provider-causal, provider-complete ledger evidence can do that.
4. Never supply an organization id. Project and tenant scope come from the
logged-in Caveman identity and server RBAC.
5. Never execute a lifecycle mutation, even after user approval. Exact
`<action>:<experiment_id>` strings are agent-generatable and are not proof of
human intent.
6. Unknown states and server errors fail closed. Report exact
`cave_snake_code`.
## Step 1 — Load project and experiment
Prefer MCP:
```text
caveman_context {}
caveman_experiment_get {"action":"get","experiment_id":"<id>"}
caveman_experiment_get {"action":"results","experiment_id":"<id>"}
```
Use `{"action":"list"}` when the user has not named an id.
CLI fallback:
```bash
caveman cloud experiments list
caveman cloud experiments show <id>
caveman cloud experiments results <id>
```
Stop if login, project, experiment, or results are unavailable.
## Step 2 — Evaluate evidence
Report:
- current lifecycle state and safety class;
- control and candidate sample sizes;
- quality or eval result;
- latency, error, cost, retry, drop, and escalation guardrails when present;
- evidence cost;
- rollback or hold reason;
- whether result is pending, failed, promotable, or active.
Absence is not a pass. If a required field is absent, state
`evidence incomplete` and do not propose approval.
## Step 3 — Propose one action
Allowed actions:
- `start` — only from a startable draft or queued state with configured graders;
- `approve` — only with complete passing evidence and a safety class the
current role may approve;
- `cancel` — stop a non-active experiment the user no longer wants;
- `rollback` — revert an active or harmful change through the server's linked
policy path. Current deployments may reject this honestly with
`cave_not_implemented`; never describe that response as a rollback.
Show recommendation and id:
```text
Proposed action: approve experiment 7f...
Reason: candidate passed quality and every configured guardrail.
Execution: blocked until server-authoritative lifecycle and evidence gates ship.
```
Do not treat earlier generic statements such as "manage it" or "do what is best"
as mutation approval.
## Step 4 — Block unsafe execution
Do not emit or run an executable lifecycle command. Explain that current server
does not yet enforce every evidence/state transition atomically. CLI and MCP
agent surfaces therefore expose experiment reads only.
## Step 5 — Re-read after external operator action
If operator says they executed command, read detail and results again. Report
server-observed post-state, audit or result response, and any policy-delivery
status returned. Never infer success from operator intent alone.
Use this close:
```text
Action: <action> <experiment-id>
Before: <state>
Server response: <status and cave_snake_code if any>
After: <re-read state>
Basis: experiment evidence only. Verified savings unchanged unless the signed
ledger independently records active, provider-causal real-traffic savings.
```Excerpt, first 3,897 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit ee55483
git clone https://github.com/juliusbrussee/caveman git -C caveman checkout ee5548342062
The author documents no install command, so this uses the repository directly. Our verdict covers commit ee5548342062 only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
ee5548342062
README badge
For maintainers · shows the latest audit
[](https://modelsatlas.com/skills/juliusbrussee/caveman-manage/)
The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.
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Questions about caveman-manage
What does the caveman-manage skill do?
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Sources
- github.com/juliusbrussee/caveman/tree/main/skills/caveman-manage — the audited source at commit ee5548342062 and every finding aboveObserved · 31 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the caveman-manage skill do?
- Is caveman-manage safe to install?
- What can caveman-manage access on my machine?