Borrowing it
Nothing to install: this file belongs to unbound-force/gaze. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/unbound-force/gaze/main/.opencode/skills/replicator-cli/SKILL.mdgit clone --depth 1 https://github.com/unbound-force/gazeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/unbound-force/gaze/replicator-cli)<a href="https://agentmods.dev/skills/unbound-force/gaze/replicator-cli"><img src="https://agentmods.dev/badge/skills/unbound-force/gaze/replicator-cli.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00011 | $0.00366 |
| Opus 5 | $0.00005 | $0.00183 |
| Sonnet 5 | $0.00002 | $0.00073 |
| Haiku 4.5 | $0.00001 | $0.00037 |
Grade A, and why
replicator-cli scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Replicator CLI
Quick reference for all replicator commands.
Commands
| Command | Purpose |
|---|---|
replicator init |
Per-repo setup: creates .uf/replicator/ + agent kit |
replicator setup |
Per-machine setup: creates global SQLite DB |
replicator serve |
Start MCP JSON-RPC server on stdio |
replicator cells |
List work items (cells) |
replicator doctor |
Check environment health |
replicator stats |
Display activity summary |
replicator query |
Run preset SQL analytics queries |
replicator docs |
Generate MCP tool reference (markdown) |
replicator version |
Print version, commit, build date |
Build Targets
make build # Build binary to ./bin/replicator
make test # Run all tests
make vet # Go vet
make check # Vet + test
make serve # Build and run MCP server
make install # Install to GOPATH/bin
Init Flags
--path <dir>— target directory (default:.)--force— overwrite existing agent kit files
MCP Tool Categories
org_*(11 tools) — work item managementcomms_*(10 tools) — agent messaging and file reservationsforge_*(24 tools) — multi-agent coordinationhivemind_*(8 tools) — learning storage and retrieval
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 47 lines · 11 tokens per session scan A 8ee7f75e773c
replicator-cli is a skill published in the GitHub repository unbound-force/gaze (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 11 tokens to every session and 366 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
quality
Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.
gh-file-issue
Use when filing a new Codewhale GitHub issue: turn a bug or idea into a well-formed, actionable issue with repro, acceptance criteria, labels, and milestone.
gh-treasure-hunt
Hunt the issue/PR queue for highest value-over-risk wins: clean focused community PRs, already-implemented issues to close, safe quick-fixes.
follow-up-after-call
Use after a completed customer, prospect, partner, or important internal sales call, discovery session, demo, or conversation, including when the user supplies or uploads a transcript, notes, recording summary, or other grounded evidence. Advise on, assess, qualify, recap, and produce seller-ready follow-up actions…
persona-event-coordinator
Plan and manage events — scheduling, invitations, and logistics.
persona-project-manager
Coordinate projects — track tasks, schedule meetings, and share docs.