
signet-eval
io.github.jmcentirePublished by GitHub account jmcentirev3.12.2Updated Oct 24, 2026
Deterministic policy enforcement and MCP management for AI agent tool calls.
Overview
Deterministic, rule-based policy enforcement for AI agent tool calls, with an MCP management server for editing and inspecting those rules.
- What you can do
- Evaluate tool calls against ordered policy rules and return allow, deny, ask, gate or ensure decisions
- Manage policy through the MCP server: add, inspect and validate rules, including spending limits and command blocks
- Inspect and test policy: show current rules, test a sample tool call, and review the recent action log
- Handle credentials and spending: create an encrypted vault, store or delete credentials, check vault status and session spend
- Optionally mask secret values in tool input and emit advisory injection nudges near matching calls
- When to use it
- Use it when you want a deterministic, auditable guardrail layer around an agent's tool calls in hosts such as Claude Code, Codex, Cursor, Antigravity or Muse Code, for example to block destructive commands, cap spending, or require confirmation for sensitive operations. It is a policy layer, not a sandbox.
- Requirements
- A local Rust binary installed from crates.io or built from source; there is no npm or PyPI package. Hook configuration must be added to each host's settings file, and the MCP management server runs as a local stdio process. Optional features need a policy file under the signet directory, an encrypted vault, and a secret mask config.
Installation
In SourceWeft
- Open signet-eval in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
signet-eval
Deterministic policy enforcement for AI agent tool calls. Integrated tool calls pass through user-defined rules before execution. No LLM in the authorization path. Advisory nudges are separate from authorization.
Install
There is no npm or PyPI package for signet-eval. The public distribution path is
crates.io plus source install from GitHub. The MCP Registry listing points at
the repository metadata; the runtime is the local signet-eval serve stdio
server.
Quick Start
The command-hook adapters below remain supported and independent. For Claude Code's optional early-access function hooks, see the function adapter. It is disabled by default; installing/building this package does not activate it or change user settings.
1. Hook into Claude Code — add to ~/.claude/settings.json:
For Codex, enable hooks in ~/.codex/config.toml or <repo>/.codex/config.toml:
Then add ~/.codex/hooks.json or <repo>/.codex/hooks.json:
For Antigravity, add this block to ~/.gemini/config/hooks.json (merge it with any existing hook groups):
The same configuration is available at hooks/antigravity-hooks.json.
For Cursor, add to ~/.cursor/hooks.json (user) or <repo>/.cursor/hooks.json
(project), merging with any existing events:
The same configuration is available at hooks/cursor-hooks.json.
The preToolUse matcher skips shell and MCP calls because the two dedicated
events evaluate them; without it, each such call is evaluated and logged twice.
For Muse Code, add a top-level hooks member to ~/.config/muse/settings.json
(user scope; keep schema_version and your other settings), or save the file as
<repo>/.muse/hooks.json (project scope, which Muse enables only for trusted
workspaces):
The same configuration is available at hooks/muse-hooks.json.
2. Done. Every tool call now passes through policy evaluation. The default policy blocks destructive operations, protects its own configuration, and allows everything else.
3. (Optional) Customize — talk to Claude with the MCP server:
Then say: "Add a $50 limit for amazon orders" or "Block all rm commands".
Default Policy
Self-protection rules are locked — they cannot be removed, edited, or reordered by the AI agent, even through the MCP management server. This prevents the agent from disabling its own guardrails.
Custom Policy
Edit ~/.signet/policy.yaml:
Rules are evaluated in order — first match wins. Multiple conditions on a rule are AND'd. Rules with locked: true cannot be modified through the MCP management server.
ENSURE check context
User-managed ENSURE scripts receive the original normalized tool name and input
on stdin. SIGNET_TOOL_COMMAND carries the first non-empty string among the
normalized command and cmd fields as a literal environment value. It is empty
when neither field holds one.
The forwarding mechanism does not interpret that value as shell code.
SIGNET_TOOL_CWD uses the normalized tool cwd/workdir, then the host envelope's
cwd, then the hook process's working directory. Empty values are skipped.
SIGNET_TOOL_CWD_SOURCE says which one was used: tool_input, host, or process.
SIGNET_HOST_CWD carries the host envelope's cwd on its own, or is empty when the
host sent none. A tool_input directory is where the host will run the command, but
the model wrote it. The process fallback is not an independently verified execution
directory. None of these is a trusted location attestation, and a check that
authorizes on location should look at the source before relying on the value.
Signet does not interpret the command, so a cd inside it does not change
SIGNET_TOOL_CWD. All of these environment values replace inherited ones, and stdin
remains unchanged.
A missing or unresolvable check script denies the call with a reason naming the
check, for user rules as well as locked ones. Signet installs no check scripts, so
copy ~/.signet/checks/ along with any rules.yaml that refers to it.
Older releases shipped a github_identity_guard system rule. A copy of it left in
policy.yaml is ignored, and signet-eval validate reports it as a warning. To keep
an identity check, put the rule in rules.yaml with a script you maintain.
From the repository root after cargo build --release, run the independent local
acceptance checks with:
These Python acceptance checks can run locally and are also collected by hosted CI on Linux and macOS against the release binary, alongside Rust and packaging checks.
Advisory Injection
INJECT rules probabilistically add advisory context near the tool call that
triggered them. They are nudges, not authorization: the normal
ALLOW/DENY/ASK/GATE/ENSURE pass remains first-match-wins and
deterministic. Injection runs afterward and only emits context when a matching
inject rule fires.
Trigger modes:
Payload sources:
Template substitutions are enabled by default: {tool_name}, {cwd}, {date},
and {matched_param.X}. See examples/inject_examples.yaml.
Condition Functions
Model-scoped rules
Hook-mode calls can carry an agent_model field naming the model that issued
the tool call. Only the host may supply it: Signet reads the hook envelope's
model (a string, or an object with id) or Antigravity's modelName, and
nothing else.
- Any
agent_modelin tool input is discarded on every evaluation path (all hook adapters, the MCP proxy and Kindex task admission), so the agent cannot claim a model. The host still runs the original tool input. - Signet never reads the model from a session transcript. The agent can write that file, so a model recorded there is a claim, not a fact.
- Claude Code's classic
PreToolUseinput has no model field, so legacy Claude hooks never seeagent_model. The optional function adapter (adapters/claude-function) passes the host's$.session.model()answer when the host provides one. That is the session's model; whether it names a subagent's own model is not qualified. - MCP proxy and Kindex admission calls have no host-attested model, so the field is always absent there.
- The field is attached only when a rule or the active preflight names
agent_model. Other policies see tool input exactly as before.
When the model is unknown the field is absent and compares as an empty string. Write the condition as a negated allowlist so unknown models fail closed:
On a host that reports no model, this rule denies every matching call. Command matching stays substring-based, so an agent determined to reach the same binary through an interpreter or wrapper script can still evade it.
Secret masking
Optional. Create ~/.signet/secret_mask.yaml (or $SIGNET_DIR/secret_mask.yaml)
naming shell env files that hold your secrets:
Without the file the feature is off. ~ expands to $HOME; a relative path is
relative to the signet directory. The file sits under ~/.signet/, so the
self-protection rules stop the agent from editing it.
Each reference file is read line by line: an optional export , then
NAME=VALUE with NAME matching [A-Za-z_][A-Za-z0-9_]*. Matching surrounding
quotes are stripped, and an unquoted value loses a trailing #comment. Values
containing $ or a backtick, values with unterminated or concatenated quotes,
and values shorter than min_length are skipped.
A key is selected when its name contains any keys entry, case-insensitive,
with * matching any run of characters. A full name therefore also selects
longer names that contain it. Without keys, the default fragments are KEY,
TOKEN, SECRET, PASSWORD, PASSWD, PASS, PW, CREDENTIAL, AUTH,
PRIVATE, SID, DSN, WEBHOOK, COOKIE, CLIENT_ID, ACCOUNT_ID and API
(DEFAULT_KEY_PATTERNS in src/secret_mask.rs).
Every occurrence of a selected value, and of its JSON-escaped spelling, becomes
$NAME. Longer values are replaced first, file order breaks ties, a value
shared by several names masks to the first, and a name defined twice masks both
values. Files are cached and re-read when their mtime or size changes. A missing
or unreadable file produces one warning on stderr naming the path and masks
nothing from it; an invalid config turns masking off with one warning.
Masking applies to what signet-eval persists or displays: the action ledger,
preflight records and violations, Kindex result deliveries, the integration redact sanitizer used by the Claude function adapter, MCP management replies
(recent actions, status, violations, rule listings, test results), MCP proxy
reasons, hook deny/ask reasons and advisory context, and the rules, test and
log CLI output. It never changes the input policy evaluates and never rewrites
the command the host runs. A preflight definition containing a masked value is
rejected, as with other secrets. Vault credentials are stored as given.
A command can genuinely need the literal value, so the default rule
block_masked_secret_literal asks rather than denies when tool input contains
one. Its reason names the key ($NAME), never the value, and suggests using
$NAME instead. Override it in rules.yaml like any unlocked default. Rule
reasons and alternatives can use the {masked_keys} placeholder, which expands
to the matched key names. signet-eval status reports the masked key names and
file count.
Masking keeps values out of what signet-eval shows; it cannot stop a host from
sending a tool's output to the model. So the locked rule
protect_secret_reference_files denies any tool call whose command or path
names a reference file: cat ~/.profile, grep KEY $HOME/.profile, the Read
tool on it, an edit or patch of it, or the bare name when the command runs in
(or cds to) its directory. source FILE and . FILE stay allowed because
they print nothing; use the loaded variables by name. Written content, prompts
and descriptions are not inspected, so documentation may mention the file. The
match is lexical: globs, symlinks, copies made outside the agent, or a recursive
search of a parent directory are not caught. It never matches without a config.
Encrypted Vault
Three-tier encrypted storage with passphrase-derived key hierarchy (Argon2id + AES-256-GCM):
Credentials support scoped access via request_capability: domain restrictions, purpose constraints, per-use amount caps, and one-time tokens that auto-invalidate after a single use.
Spending limits use the vault ledger — each tool call that spends money is logged, and spend_plus_amount_gt() checks cumulative totals before allowing the next purchase.
Self-Protection
signet-eval ships with locked rules that prevent an AI agent from disabling its own policy enforcement:
-
protect_signet_dir — Denies any Write, Edit, or Bash command touching
.signet/(policy files, vault, HMAC) -
protect_signet_binary — Denies tampering with the
signet-evalbinary itself -
protect_hook_config — Requires user confirmation before modifying
settings.json(where the hook is configured) -
protect_signet_process — Denies kill/pkill/killall commands targeting signet processes
-
protect_preflight_storage — Denies agent-side mutation of preflight records
-
require_kindex_engagement_before_edits — Denies direct edit tools until durable session context is recorded
-
prefer_persistent_task_store — Denies the five Claude task-state tools above and points agents to durable Kindex tasks.
Agent, legacy subagentTask,TaskOutput, andTaskStopare not task-state tools and are not blocked by this rule. -
protect_checks_dir — Denies agent-side replacement of trusted ENSURE scripts
-
protect_vault_passphrase — Reserves vault setup and unlock operations for the human
-
protect_signet_symlink — Denies symlink bypasses targeting protected enforcement surfaces
-
protect_secret_reference_files — Denies reading the env files named in
secret_mask.yaml;sourcestays allowed (see Secret masking)
These rules are:
- Locked — MCP tools refuse to remove, edit, or reorder them
- Position-protected — Unlocked rules cannot be reordered above locked rules (first-match-wins)
- Hardcoded in defaults — If the policy file is corrupted or missing, the binary falls back to hardcoded defaults that include self-protection
- Version-reconciled — Current compiled defaults overlay stale system-policy snapshots by rule name, so an upgrade does not require rerunning
init - Reserved-name reconciled — Built-in rule names are owned by the binary; host-specific system rules must use distinct names, while user rules remain the supported override layer for unlocked defaults
- HMAC-backed — Direct file edits break the policy signature, triggering fallback to safe defaults
MCP Management Server
Manage policies conversationally through Claude:
All mutating operations auto-sign the policy when the vault is available.
MCP Proxy
Wrap upstream MCP servers with policy enforcement. The agent connects to the proxy, never directly to servers. Policy is hot-reloaded on every call.
All Commands
Performance
Architecture
signet-eval is the enforcement layer of the Signet personal sovereign agent stack. The core principle: the authorization layer must not be an LLM. It processes structured data only — regex, comparisons, and vault queries. No natural language, no context window, no persuasion surface. A rule either matches or it doesn't.
Security Model
signet-eval is a seatbelt, not a cage. Understanding what it does and doesn't protect against is critical.
What it protects against
A cooperative agent making mistakes. Claude Code, Codex, Antigravity, Cursor, and Muse Code follow hook protocols — they call signet-eval around tool use and respect the supported responses. Within those protocols, signet-eval reliably enforces policy:
- Blocks destructive commands (
rm,mkfs, piped remote execution) - Enforces spending limits across tool calls
- Gates credential access with domain, purpose, and amount constraints
- Requires user confirmation for sensitive operations (
git push --force) - Prevents casual policy tampering via locked rules and MCP guards
This is the normal operating mode. The agent isn't trying to escape — it's trying to be helpful and the policy keeps it in bounds.
Codex support has one important semantic difference: PreToolUse is currently deny-only for enforcement, so Signet ALLOW emits no output and Signet ASK is converted to a deny at that stage. The PermissionRequest adapter explicitly allows or denies requests Codex was already going to send through approval; Signet ASK defers to Codex's normal approval prompt.
Antigravity sends a nested toolCall payload and expects a top-level decision response. The adapter normalizes native command and file tools to Signet's canonical policy names, unwraps call_mcp_tool into mcp__<server>__<tool>, and fails closed when the native wrapper is malformed.
Cursor semantics (verified against cursor-agent 2026.10.01): the adapter reads
hook_event_name and answers with Cursor's flat permission object. Only
beforeShellExecution can ask; there Signet ASK becomes Cursor's approval
prompt. preToolUse enforces only deny, cursor-agent ignores ask on
beforeMCPExecution although Cursor's documentation lists it, and
beforeReadFile accepts only allow or deny, so Signet ASK becomes a deny on
those three events. Cursor's Shell tool maps to Bash, and
beforeMCPExecution maps to mcp__<server>__<tool> with the arguments decoded
from Cursor's JSON string; preToolUse sees MCP calls only as MCP:<tool>,
without the server, which is why the sample routes MCP to the dedicated event.
beforeReadFile evaluates the path, not the file content Cursor attaches.
Signet emits allow explicitly, because Cursor treats empty output as a failed
hook. Cursor fails open when a hook crashes, times out, or exits non-zero unless
the entry sets failClosed: true, as the sample does; invalid JSON blocks the
action either way. Cursor also runs hooks from Claude Code's
~/.claude/settings.json and project .claude/settings*.json. Those receive
Cursor payloads, so a plain signet-eval Claude hook there runs a second,
unnormalized evaluation in Cursor; it does not deduplicate against the Cursor
adapter, whose command differs.
Muse Code semantics (verified against Muse 1.4.6): Muse sends Claude-shaped
PreToolUse payloads with its own tool names. The adapter maps shell (and
bash, bash_input, exec_command, execute_command) to Bash,
read_file/write_file/edit_file to Read/Write/Edit (copying a native
path into file_path), search to Grep, and web_fetch/web_search to
WebFetch/WebSearch; MCP tools already arrive as mcp__<server>__<tool>.
Muse PreToolUse enforces only deny: it ignores ask and rejects a bare
allow, so Signet ALLOW emits no output (or only additionalContext for an
inject nudge) and Signet ASK becomes a deny. Muse has no fail-closed hook
option: a crashed, timed-out, or unparseable hook lets the tool call proceed.
Project hooks in .muse/hooks.json stay disabled until the workspace is
trusted. Muse does not run Claude Code or Codex hooks. The adapter also accepts
PermissionRequest with the Codex response shape (ASK defers to Muse's
prompt), but the sample omits it: with the default ALLOW policy it would
approve every call Muse was about to ask about.
What it does NOT protect against
An adversarial agent with shell access. signet-eval runs at the same privilege level as the agent it constrains. Any process with the same UID can:
- Use shell indirection to evade string matching (
alias,eval,base64 -d | sh,python3 -c "...") - Create symlinks to protected paths under innocent names
- Read the session key file and forge HMAC signatures
- Replace the signet-eval binary itself
- Modify the hook configuration in
settings.json - Use
LD_PRELOAD,ptrace, or process injection
No amount of pattern matching fixes this. Adding rules for ln invites alias. Blocking alias invites eval. Blocking eval invites python3 -c. This is an infinite regress — the fundamental issue is privilege level, not pattern coverage.
Where real containment lives
Protecting against a truly adversarial agent requires OS-level controls that operate above the agent's privilege level:
- Separate user account — run the agent as a restricted user with no write access to policy files
- Container/sandbox — Docker, Flatpak, or
bubblewrapwith a read-only mount for~/.signet/ - Stripped
$PATH— removeln,alias, and other indirection tools from the agent's environment - seccomp / AppArmor / SELinux — mandatory access controls that the agent cannot override
- Virtual environment — run Claude Code in a constrained environment with limited filesystem access
signet-eval is the policy layer within such a setup. It handles the "what should this agent be allowed to do" question with clear, auditable rules. The OS handles the "can this agent circumvent the policy" question. Neither replaces the other.
Defense in depth
The layers work together:
Without OS controls, signet-eval is a speed bump, not a wall. With them, it's the policy engine inside a secure perimeter.
License
MIT
Source: README.md at commit 3c04401
Tools
0Version history
1- v3.12.2LatestSep 16, 2026
Score
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