agentseed
Enables AI coding agents to enforce spec-driven development and verify code before it is marked done, using six tools that catch invented APIs, scan for hallucinated content, check plugin conformance, sandbox-run tests, validate schemas, and record audit evidence.
README
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🛡️ AgentSeed
Anti-hallucination guardrails for AI coding agents.
A hybrid Agent Plugins plugin (Skill + MCP Server) that forces spec-driven development and verifies code before it is marked done — so "Done, all tests pass" becomes an observed fact, not a claim.
⭐ Like this project? Consider giving it a star — it helps developers find guardrails before they ship hallucinated code.
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Why AgentSeed
LLMs hallucinate — in code, that means invented APIs, undefined identifiers, fake test passes, and confident overclaims. The numbers:
- 15.1% of code hallucinations are knowledge-conflicting: calling APIs that don't exist or were never imported (arXiv:2404.00971).
- <10% of hallucinated code fails tests — most slips through CI (arXiv:2404.00971).
- 60%+ of model-output errors are unverifiable — no way to tell fact from fiction (FAVA, cited in SoK).
Prompt-only guardrails are soft: a model can agree to verify and then skip it. AgentSeed binds the instruction to a hard MCP gate — the evidence comes from running code, not from the model's self-report.
It also fills two gaps the 1.0.0 spec deliberately leaves open:
| Gap in Agent Plugins 1.0.0 | What AgentSeed does |
|---|---|
| No enforcement mechanism (skills are optional to follow) | verify-before-code skill makes verification non-skippable |
| No official conformance linter | check_plugin is the first strict 1.0.0 linter |
What it does
Six MCP tools — zero required dependencies, enhanced by optional extras:
| Tool | Catches | Technique |
|---|---|---|
verify_code |
Invented APIs / undefined symbols | Python AST + TS/JS lexical pass |
scan_hallucination |
Placeholder code, overclaims, fabricated content | 28+ signals in 3 groups |
check_plugin |
Non-conformant plugin packaging | Strict 1.0.0 linter |
sandbox_run |
"Tests pass" without running anything | Deterministic execution channel |
schema_validate |
Invalid structured output | JSON Schema validation |
record_verification |
No persistent evidence trail | Appends a JSONL audit entry under PLUGIN_DATA |
Measured on a seeded synthetic corpus (5 defect classes): precision 1.0, recall 1.0 (tp=100, fp=0, fn=0) with the regression test locking it in — methodology and honest scope in docs/BENCHMARK.md.
Live demo
$ verify_code(source="def f():\n return magic_unknown()\n", language="python")
{
"language": "python",
"suspects": ["magic_unknown"] # ← hallucinated API caught
}
$ scan_hallucination(source="The feature is production ready, all tests pass. Trust me.")
{
"hits": [
{"word": "all tests pass", "group": "oversold", "line": 1},
{"word": "production ready", "group": "oversold", "line": 1},
{"word": "trust me", "group": "oversold", "line": 1}
],
"clean": false # ← overclaim caught
}
$ check_plugin(path="/path/to/AgentSeed")
{ "ok": true, "errors": [], "warnings": [] } # ← strict 1.0.0 conformance
Quick start
Option A — download a release (no git needed):
# grab the latest asset from https://gitcode.com/badhope/AgentSeed/releases
# or use the installer, which drops it into a client of your choice:
bash install.sh --client auto # macOS / Linux
./install.ps1 -Client auto # Windows PowerShell
# --client: claude | opencode | cursor | manual
Option B — clone:
git clone https://gitcode.com/badhope/AgentSeed.git
# or: https://gitcode.com/badhope/AgentSeed · https://gitee.com/badhope/AgentSeed
- Drop the
AgentSeed/directory into any client that supports Agent Plugins (Cursor, VS Code, Claude Code, Copilot…). No build, no install; zero required dependencies (optional extras below). - The client auto-discovers the
verify-before-codeskill and theagentseedMCP server fromplugin.json+mcp.json. - That's it. The skill now gates every coding task: contract → implement → verify → evidence.
Run it standalone for a self-check:
python3 server/guard_engine.py # self-check: demo verify_code + scan_hallucination
python3 -m unittest discover -s server # 90+ unit tests (also: `pytest` in CI)
Gate a human PR with the same rules (CI mode):
python3 server/guard_cli.py gate --root . # composite hard gate: conformance
# + symbols + baseline scan, exit 1 on any failure
python3 server/guard_cli.py check . --ci # plugin conformance only, exit 1 on errors
python3 server/guard_cli.py scan src/ --strict # hallucination scan, blocking severities only
Windows note:
mcp.jsonlaunches the server viapython3. On many Windows installs that alias is a Microsoft Store stub; if the server fails to start, changecommandto["python", "server/guard_server.py"]or point it at your interpreter's absolute path.
Optional dependencies
AgentSeed runs on the Python standard library alone. Installing the extras upgrades two tools to industry-standard engines (auto-detected, graceful fallback either way):
pip install -r server/requirements.txt
| Extra | Upgrades | Without it |
|---|---|---|
jsonschema |
schema_validate → full Draft 2020-12 validation |
built-in subset validator |
pyflakes |
verify_code → pyflakes F821 undefined-name analysis |
built-in AST walk |
pyyaml |
SKILL.md frontmatter parsing → full YAML | built-in lite parser |
Use an absolute path to
guard_server.py; the server resolves everything else from its own location, so no special cwd is required.
Compatibility & graceful degradation
AgentSeed adapts to whatever the host supports, degrading one level at a time — never silently skipping verification:
| Host capability | What you get | Setup |
|---|---|---|
| Full Agent Plugins | drop-in: skill + MCP auto-discovered, ${PLUGIN_DATA} config honored |
copy the plugin directory |
| MCP-capable client | all 6 tools via registration | exact snippets above |
| Skills-only client | skill workflow; verification degrades to guard_cli.py via shell (the skill contains the fallback instructions) |
copy skills/verify-before-code flat |
| Plain terminal / CI / no agent at all | CLI gates with exit codes | python server/guard_cli.py check . --ci |
The skill itself carries the degradation path: when the MCP tools are absent,
it instructs the agent to run guard_cli.py verify/scan through the shell and
apply the same blocking rules to exit codes.
Platform support
| Client | Agent Plugins 1.0.0 | Status | Notes |
|---|---|---|---|
| Claude Code | skills + MCP config | verified | skills via ~/.claude/skills, server via claude mcp add |
| opencode | skills + MCP config | verified | ~/.config/opencode/opencode.json — exact snippet below |
| Cursor | skills + mcp.json | untested* | copy into project; no stable plugin dir yet |
| VS Code (+Copilot) | MCP support rolling out | untested* | use mcp.json fields as-is |
| Cline / Windsurf | MCP config compatible | untested* | stdio server entry maps directly |
* honest states: the formats are spec-compatible and expected to work, but we have not run AgentSeed in these clients ourselves. Verified = actually exercised by the maintainers. If you verify one, open a PR updating this table.
Clients honoring the full spec also set ${PLUGIN_DATA}; AgentSeed reads
agentseed.config.json from there.
Configuration reference (agentseed.config.json)
| Key | Type | Effect |
|---|---|---|
allowlist |
string[] |
scan exclusions (replaces built-in test-idiom list) |
severities |
{group: error|warning|info} |
per-group severity override |
timeout |
int |
default sandbox_run timeout, seconds (clamped 1–120) |
extra_tokens |
{group: string[]} |
extend the hallucination word pool at runtime |
suppress_symbols |
string[] |
names verify_code never flags (reported in suppressed) |
sandbox_allowed_prefixes |
string[] |
allowlist of executables sandbox_run may launch (absent = unrestricted). Entries without a path separator match the command's PATH-resolved basename (python also accepts python.exe); entries WITH a separator must equal or be a directory-prefix of the resolved absolute path (separator boundary enforced) |
sandbox_env |
"inherit" | "scrub" |
child environment policy: scrub drops credential-looking variable names (TOKEN/SECRET/PASSWORD/API_KEY/…) before spawn — best-effort denylist, not a security boundary |
Unknown keys are warned about on stderr — a typo'd key is never silently ignored.
Language coverage (honest scope)
| Language | verify_code analysis |
|---|---|
| Python | full AST scope walk (+ pyflakes when installed), line numbers |
| TypeScript / JavaScript | lexical regex pass (documented false-positive classes) |
| Go / Java / Rust / C/C++ / others | not analyzed yet — returns an empty result |
⚠️ Security note:
sandbox_runexecutes real processes with your user's permissions. Clients must gate it behind user approval; setsandbox_allowed_prefixesin shared/CI environments. When an allowlist is configured, commands resolve throughPATHto their absolute path before execution — a hostile working directory cannot shadow an allowlisted basename with a planted executable, and unmatched/unresolvable commands are refused (exit -10) without running.
Client setup — exact configuration
AgentSeed has two halves; both are needed for the full gate:
- Skill (
skills/verify-before-code/) — teaches the agent the workflow. - MCP server (
server/guard_server.py) — provides the 6 tools.
The installers wire step 1 and print step 2 for your client. Manual setup:
Claude Code
# skill: copy it flat so SKILL.md sits directly in the folder
cp -R skills/verify-before-code ~/.claude/skills/verify-before-code
# MCP server:
claude mcp add agentseed -- python /path/to/AgentSeed/server/guard_server.py
opencode — copy skills/verify-before-code/ to
~/.config/opencode/skill/verify-before-code, then add to opencode.json:
{
"mcp": {
"agentseed": {
"type": "local",
"command": ["python", "/path/to/AgentSeed/server/guard_server.py"],
"enabled": true
}
}
}
Cursor / other MCP clients — register a stdio server with
command: python, args: ["/path/to/AgentSeed/server/guard_server.py"],
and copy the skill folder per your client's skills location.
Use an absolute path to
guard_server.py; the server resolves everything else from its own location, so no special cwd is required.
Changelog
See CHANGELOG.md.
Built-in guardrail library (EN / 中文 / 日本語)
| Resource | Contents |
|---|---|
PROMPT-POOL |
20+ copy-paste guardrail prompts: completion evidence, verify-before-claim, uncertainty, API verification, citation rules… |
HALLUCINATION-PATTERNS |
Failure-mode catalog: 5-class code taxonomy + SoK findings + real legal/chat cases |
VERIFICATION-CHECKLIST |
Executable end-of-task checklist: risk class → contract → evidence → language audit |
SDD-CONTRACT |
The contract every coding task must satisfy |
VENDOR-SOLUTIONS |
Adoption map of vendor techniques (Anthropic, OpenAI, AWS, NVIDIA, IBM, Guardrails AI, Vectara) |
How the gate works
- Before coding — load the SDD contract, state it in one sentence.
- Implement — real code only: no placeholders, no invented APIs.
- Before "done" — call
verify_code+scan_hallucination; prove runtime claims withsandbox_run; validate structure withschema_validate. - Language audit — completion reports attach evidence; overclaim vocabulary is banned.
- Only when all checks pass may the task be marked complete.
The enforced norms (how the AI is constrained)
The skill does not just suggest behavior — each norm maps to a gate that observes compliance:
| Norm | Enforced by |
|---|---|
| Contract before code (goal / interface / non-goals / verification) | Gate 1 of verify-before-code |
| No invented APIs — never call an undefined symbol | verify_code suspects gate |
| Real implementations only — no stubs/placeholders/fakes | scan_hallucination stub signals |
| Verification before completion claims — run it, then say it | Gate 3 + sandbox_run exit codes |
| Evidence-backed reports — file:line you read, output you saw | Gate 4 audit + record_verification JSONL |
| Smallest diff, no drive-by refactors; surface ambiguity, ask once | contract non-goals + CI guard_cli gate |
These synthesize what strong agent operators converged on publicly — the
AGENTS.md open standard, Anthropic's Claude Code best
practices, and community
disciplines like
FerroxLabs/agents-md (senior-
engineer stance, anti-sycophancy, forced verification loops). The difference:
there they are prose; here every norm has an enforcing tool or exit code.
Full table with rationale:
skills/verify-before-code/references/DEFAULT-NORMS.md.
Works alongside your agent config files
AgentSeed complements — not replaces — the context files your team already
maintains for AI coding agents (CLAUDE.md, AGENTS.md, .cursor/rules/,
.github/copilot-instructions.md, CONTRIBUTING.md conventions):
- Those files carry project facts: stack, commands, layout, style. They are prose — persuasive but soft.
- AgentSeed carries the behavior contract and the enforcement: hallucination detection, verification gates, evidence trails — hard MCP tools plus CI exit codes that cannot be quietly deprioritized.
- Keep one source of truth per concern: point your
AGENTS.mdat this skill's norms instead of copying them; the plugin updates and the norm stays binding.
Why AgentSeed vs. alternatives
| Prompt-only guardrail skills (e.g. superpowers) | Static import linters (MCP) | AgentSeed | |
|---|---|---|---|
| Touches code | ❌ prompt only | ✅ import-graph analysis | ✅ AST + lexical analysis |
| Runs verification tools | ❌ | lint gates | ✅ 6 MCP tools incl. sandboxed execution |
| Hallucination-language scan | ❌ | ❌ | ✅ stub / oversold / fabricated signals (EN + CJK) |
| Enforcement | soft (skill text) | CI gate | hard gate: skill + MCP + CLI exit codes |
| Agent Plugins 1.0.0 conformance linter | ❌ | ❌ | ✅ first |
Roadmap
- [x] Hybrid Skill + MCP guardrail, 6 tools — first strict 1.0.0 linter
- [x] Prompt pool + pattern library + grouped signals + vendor techniques
- [x]
verify_codefor TypeScript / JavaScript (zero-dependency lexical pass) - [ ]
verify_codefor Go - [ ] Grammar-constrained decoding for structured outputs
- [ ] Optional remote fact-checker (HHEM-style) MCP server
FAQ
Does it need a specific LLM? No — it's client-agnostic and model-agnostic. The gate is enforced by the skill + MCP server, not by any model.
Zero dependencies? Yes. The entire MCP server is pure Python standard library.
Conformant? check_plugin validates the plugin against the spec (§5/§6/§7) — and AgentSeed passes its own linter (ok: true).
Contributing
Issues, PRs and ideas welcome. See the roadmap for directions — or open an issue for a hallucination pattern we haven't catalogued yet.
License
Apache-2.0 © AgentSeed. See LICENSE.
<div align="center">
⭐ If AgentSeed saved you from shipping hallucinated code, star the repo — it's the best signal that guardrails matter.
</div>
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