ZeroClaw is a Rust-based runtime for running a personal AI assistant on a user's own machine, with connections to language-model providers, communication channels, and external tools. It is for people who want to operate an assistant across channels such as Discord, Telegram, email, voice, webhooks, or a command line while keeping control of its data and credentials. The catalogue add-ons provide workflows and agents for using ZeroClaw.
Borrowing it
Nothing to install: this file belongs to zeroclaw-labs/zeroclaw. 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/zeroclaw-labs/zeroclaw/master/.claude/skills/feature-matrix-parity/SKILL.mdgit clone --depth 1 https://github.com/zeroclaw-labs/zeroclawWrote 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/zeroclaw-labs/zeroclaw/feature-matrix-parity)<a href="https://agentmods.dev/skills/zeroclaw-labs/zeroclaw/feature-matrix-parity"><img src="https://agentmods.dev/badge/skills/zeroclaw-labs/zeroclaw/feature-matrix-parity/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zeroclaw-labs/zeroclaw/feature-matrix-parity"><img src="https://agentmods.dev/badge/skills/zeroclaw-labs/zeroclaw/feature-matrix-parity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00127 | $0.02451 |
| Opus 5 | $0.00063 | $0.01226 |
| Sonnet 5 | $0.00025 | $0.00490 |
| Haiku 4.5 | $0.00013 | $0.00245 |
Grade A, and why
feature-matrix-parity scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "http://127.0.0.1:3000/en/reference/feature-matrix.html" -o /tmp/fm-live.html How it starts
The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ZeroClaw Feature Matrix Parity
You maintain the two competitor columns (OpenClaw, Hermes) of the feature and
support matrix at docs/book/src/reference/feature-matrix.md. The ZeroClaw
column is walked from the binary's own registries at docs-build time and is
never hand-edited. Only the external columns live in
docs/book/feature-matrix-parity.toml, and that file is the single reviewable
source for every parity fact.
The cardinal rule: every cell you write is source-walked from the competitor's
actual tree, never inferred from a folder name, an alias, or memory. A directory
called signal is not proof of Signal support; the implementing module is.
Clone URLs
Both repositories are recorded in the parity TOML header (the Sources block).
Read them from there so there is one source of truth:
- OpenClaw:
https://github.com/openclaw/openclaw - Hermes:
https://github.com/NousResearch/hermes-agent
Always shallow-clone. These trees are large (OpenClaw ~340MB, Hermes ~200MB even shallow) and full history is never needed for a registry walk:
git clone --depth 1 https://github.com/openclaw/openclaw /tmp/parity-openclaw
git clone --depth 1 https://github.com/NousResearch/hermes-agent /tmp/parity-hermes
Clone both in parallel, and delete both when finished. For a quick single-file spot-check without a full clone, the GitHub contents API reads any tree file directly, which is enough to confirm one module's existence:
gh api "repos/openclaw/openclaw/contents/<path>" --jq '.content' | base64 -d
Status vocabulary
Cells use the page legend exactly: supported, partial, experimental,
planned, none, unknown. The verdict turns on what the tree actually wires
and runs, not on what a module merely defines. Finding a named module is
necessary but not sufficient: before calling a cell supported, rule out the
downgrade patterns below.
supportedwhen the tree ships a first-class module for it AND it is wired into a real path and on by default. A module that exists but fails one of the downgrade patterns below is notsupported; it ispartialornoneper those rules.partialwhen support is real but qualified. Use it when the module is:- reachable only through a generic gateway rather than a dedicated module, or
- covers a subset of the surface, or
- default-off / opt-in (present but disabled unless explicitly enabled; read the config defaults, not just that the code path exists), or
- selectively wired (live on some trigger/transport paths, dead on others).
nonewhen the tree has no equivalent, OR the only match is defined-but-dead (a module with no non-test callers) or a degraded/orphan path (it starts but produces no end-to-end behavior). A directory name or alias is not a match; the implementing, called module is.- Leave a walked ZeroClaw row with no TOML entry to render
unknown; fill it in as parity is confirmed rather than guessing.
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.
- 11d ago First seen · 208 lines · 127 tokens per session scan A 09fa47e7c2e2
feature-matrix-parity is a skill published in the GitHub repository zeroclaw-labs/zeroclaw (32,755 stars, last pushed today), licensed Apache-2.0. It adds 127 tokens to every session and 2,451 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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01-sdlc
Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge. Use when the user wants to deliver a change end to end. Not for running one development step.
02-backlog
Orchestrates a product backlog end to end. Use when the user wants to ask what it holds, or to run intake, triage, refinement, review, lifecycle events, ordering, health checks, or repair. Not for one known artifact step.
02-user-stories
Produces or refines ordered User Stories from an Epic, Product Brief, PRD, or bounded request. Use when the user wants to slice, write, assess, order, or persist Stories. Not for Epics or implementation.