CAT
/MCP
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Cross AI Tools

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Quill

manumarri-sudo/quill
STDIOregistry active
Summary

A pre-execution gate that sits between Claude and the MCP servers your agent calls. Every tool invocation passes through three checks: audit logging with HMAC-signed JSONL, namespace scoping against session-declared allowlists, and risk-gated approval for destructive operations like rm -rf, DROP TABLE, git push --force, or production deploys. Critical-risk actions require typing the action name back to prevent yes-fatigue mistakes. When a call gets blocked, you receive an out-of-band notification (macOS banner, email, Slack, webhook) with context and a one-shot approval token you can run from your phone. Plugs into Claude Code's PreToolUse hook for built-in tools (Bash, Edit, Write) and proxies external MCP stdio calls. Built for the moment between "let the agent handle it" and discovering what it actually tried to handle.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →

quill

Quill Change Control: a merge-boundary gate that checks an AI agent's pull request against a human-signed change policy. Out-of-scope edits, forbidden paths, and secrets fail the build; in-scope work merges. It enforces structural authorization (which paths may change, what is off-limits, no secrets), deterministically, in CI where the agent can't disable it. It does not judge whether the code is semantically correct, and it is a real adversarial boundary only with the full deployment in docs/SECURITY-MODEL.md (signed contract, off-box keys, required check). Alpha; treat the security model as the source of truth over any one-line claim.

PyPI Python versions CI Typed License: MIT

An AI agent opens a pull request. Did it touch only the paths a human authorized, and nothing off-limits? Quill answers that at the merge boundary, in CI, deterministically (there is no model in the decision path to jailbreak), and records a signed verdict. It checks where the change went and whether it leaked secrets; it does not prove the in-scope code is correct or free of a backdoor. That is the honest scope, and it is the part a human reviewer most often misses on a large agent PR.

# 0. one-time: create a human approver key. Keep the PRIVATE half off the build
#    box; pin the PUBLIC half so a PR cannot edit the trust root (in CI this is a
#    repo/org secret or variable, NOT a path inside the checkout).
quill keygen --out approver.pem
export QUILL_APPROVER_PUBKEYS="$(cat approver.pem.pub)"

# 1. sign the standing boundary ONCE: what agents may touch, what is off-limits.
quill guard --key approver.pem --allow "src/**" --forbid "migrations/**"

# 2. capture AND SIGN the approved task (a signed contract can't be forged by the agent).
quill begin "Add rate-limiting to the login endpoint" --scope "src/auth/**" --key approver.pem
#    commit .quill/{perimeter.json,perimeter.sig,contract.json,contract.sig} to the BASE branch.

# 3. the agent writes the diff and opens the PR.

# 4. CI verifies the PR against the signed boundary, in strict mode.
quill verify --strict        # PASS · NEEDS_REVIEW · BLOCK   (BLOCK fails the build)
#    add --sign-key gate.pem (or QUILL_GATE_KEY in CI) to ALSO sign the verdict,
#    so a reviewer can re-check it with `quill verify-passport`.

That full sequence — pinned external approver key, signed perimeter, signed contract, --strict — is the real adversarial boundary. Drop any of it (quill begin / quill verify with no flags) and Quill still runs, but in cooperative mode: honest review automation for a non-adversarial agent, not a boundary against one trying to escape. Verdict signing is opt-in (it needs a gate key); it is not on by default. See docs/SECURITY-MODEL.md for the full deployment checklist.

quill verify reads git diff <base>..HEAD, checks every changed file against the scope you approved, scans added lines for hardcoded secrets and sensitive surfaces (CI config, lockfiles, test deletions), evaluates any logged exceptions, and writes a Change Passport — passport.json + a PR-ready passport.md — that cites the HMAC-chained audit entry for the run, so a reviewer can trace the verdict back to a tamper-evident record instead of trusting the markdown alone.


Why this layer

The agents writing your code have shell access, file write, deploy permissions, and your credentials, and the failures are already on the record: in July 2025 Replit's agent deleted a production database during a vibe-coding session and fabricated data to cover it; that same month a Cursor agent ran rm -rf ~/ against a developer's home directory; in August an autonomous agent committed a customer's GitHub token into a public commit. The common thread is not that the model is evil, it is that nothing checked the change against what was actually approved before it shipped.

Quill puts that check where it can be enforced and recorded: in CI, on the pull request, where the gate runs outside the agent's own process and cannot be quietly switched off by the thing it is reviewing. The verdict is a deterministic function of the diff, the contract, and the policy — there is no LLM in the decision path, so the gate itself cannot be prompt-injected.

What Quill is, and what it is not

Calibration matters more than marketing.

  • Quill is a verification-and-evidence artifact, not a content classifier. It does not predict whether a change is "good." It checks the diff against a recorded contract (scope, secrets, sensitive surfaces) and issues a signed verdict a human can review. There is no model in the gate.
  • The CI gate is the defensible boundary; the local gate is defense-in-depth. Quill also ships an optional on-laptop runtime gate (below). That gate is a deterministic speed bump and recorder at the tool-dispatch layer — it raises the bar against careless agents and the common destructive/exfiltration shapes, but it is not a hard boundary against a determined adversary actively trying to escape it (write-then-run, flag reordering, inherited-env, ungated network egress are all documented limits). The full, honest threat model is in docs/SECURITY-MODEL.md.
  • Quill does not certify compliance. The audit log is machine-verifiable evidence your auditor will want to review, not the artifact they will accept on its own.
  • Quill is not a hosted service. It is a single Python package. The audit log and signing key live on your disk in mode 0o600; you own the key, the log, and the verdict. No cloud round-trip on the verify path, no telemetry by default.

Change Control in detail

1. quill begin — capture the contract

quill begin "Add rate-limiting to the login endpoint" \
            --scope "src/auth/**" --scope "tests/auth/**" \
            --approved-by alice

Writes .quill/contract.json: the approved task (text or a URL to a ticket), the allowed_paths scope (globs, directory prefixes, or exact paths), the base commit the change starts from, and a contract_id. Commit this file to the branch — it is the fixed record the diff is later measured against, and the Change Passport cites it.

2. quill verify — gate the diff

quill verify --strict        # enforced mode: requires the signed perimeter + contract
quill verify                 # local/cooperative: advisory, forgeable by the agent

verify (src/quill/verify.py, on top of policy.evaluate_diff):

  1. builds the authoritative changed-path inventory from git diff --name-status -z --find-renames <base_commit>..<candidate> — both rename endpoints, binary and mode-only changes included — and parses the unified diff only to scan added lines,
  2. matches every changed path (both ends of a rename) against the contract scope,
  3. scans added lines for the 26 vendor-format secret patterns in src/quill/secrets.py,
  4. classifies sensitive surfaces (CI/workflow files, lockfiles, test deletions),
  5. applies any logged exceptions in .quill/exceptions.json (ignored entirely in strict mode — an unsigned waiver file cannot weaken a strict verdict),
  6. composes a verdict — PASS, NEEDS_REVIEW, or BLOCK — and chains a verification.run event into the audit log.

BLOCK exits non-zero (fails CI); PASS and NEEDS_REVIEW exit 0, so review is surfaced without hard-stopping the pipeline. The whole thing is deterministic: given the same inputs — the diff, the contract, the signed perimeter, the trusted approver keys, the strict flag, and any (signed) exceptions — it returns the same verdict, explainable line by line. There is no model and no clock in the decision path.

3. The Change Passport

verify writes passport.json (machine-readable, for downstream tooling and status checks) and passport.md (PR-ready). The markdown footer cites the verification.run audit MAC, so the passport traces back to the tamper-evident chain rather than asking you to trust the document.

4. The GitHub Action

# .github/workflows/quill-change-control.yml
on:
  pull_request:
    branches: [main]
jobs:
  change-control:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with: { fetch-depth: 0 }   # full history so the base commit resolves
      - uses: manumarri-sudo/quill@v0   # runs `quill verify`, publishes a Status Check

The composite action (action.yml) runs quill verify, publishes a commit Status Check, and fails the job on BLOCK. If a PR has no .quill/contract.json, verification errors and the job fails closed (exit 2), rather than passing silently — so deleting or omitting the contract cannot wave a change through. Initialize Change Control on the base branch (quill begin) before requiring the check.

Trust spine: sign the boundary once, the agent can't forge it

The point of running in CI is that the gate lives where the agent can't disable it — but that only matters if the agent also can't fake its approval or edit its own judge. Quill closes both with Ed25519 (verification uses a public key, forging needs the private key — not the same secret, which is what the symmetric HMAC chain could never give you):

quill keygen --out approver.pem          # human's key; keep the private half OFF the box
quill guard --key approver.pem --forbid 'migrations/**' --forbid 'src/auth/**'
#   ^ signs .quill/perimeter.json once. From now on EVERY agent's PR is checked
#     against it automatically — you're paged only when one crosses the line.
  • A human signs the perimeter once; every PR is enforced with no per-change approval. That is the answer to "I'm not going to sit and approve a hundred agents." Forbidden paths and gate-tamper edits BLOCK; secrets BLOCK; in-bounds work PASSes silently.
  • The agent can't authorize itself (in strict mode, with an off-box trust root). Editing the perimeter, the approver keys (.quill/approvers/**), or the workflow that runs the gate is itself a BLOCK, and tampering with a signed perimeter or contract invalidates the signature. The committed .quill/approvers/*.pub set is a convenience, not a boundary: in strict mode only the externally-pinned QUILL_APPROVER_PUBKEYS are trusted, because an agent could otherwise plant a key in the base commit and sign its own approval. Off-box keys + strict is what makes this a real claim rather than a hopeful one.
  • The verdict can't be forged. With a gate key (quill verify --strict --sign-key gate.pem, or QUILL_GATE_KEY in CI), the passport is signed; anyone re-checks it with quill verify-passport passport.json and a flipped verdict or untrusted signer fails.
  • Or use GitHub's own reviews. quill check-approval requires a human who is not the PR author to have approved the current head commit — an agent can't approve its own PR, and the approval is dismissed when new code is pushed.

What this requires to be a real boundary (not optional): the trust root must live where a PR can't edit it. Hold the approver/gate private keys off the build machine (a repo/org secret: QUILL_GATE_KEY, QUILL_APPROVER_PUBKEYS), sign the contract (quill begin --key) and require it in strict mode, pin the Action to a published tag (not the PR's own checkout), and make the Status Check required in branch protection. With those in place the bypasses the security model enumerates are closed against the attacks the test suite exercises (including the composite rogue-key-in-base attack, the Action-wrapper fail-open, and binary/rename diff coverage, all closed with regression tests); without them it is honest review automation for a cooperative agent. This has not yet had an external security audit, so treat "closed" as "closed against what we currently test," and treat docs/SECURITY-MODEL.md — which tracks the residual open items — as authoritative over this README.

The local runtime gate (optional, defense-in-depth)

Separately from CI, Quill can gate an agent's tool calls as they happen on your laptop, via Claude Code's PreToolUse hook. This is the supporting surface, scoped honestly as defense-in-depth — a deterministic speed bump and recorder, not a hard boundary.

quill onboard      # detect agents, install the hook, pick a risk preset

From the next session, every Bash / Edit / Write / NotebookEdit passes through the compiled-regex classifier in src/quill/policy.py: rm -rf, git push --force, DROP TABLE, vercel --prod, npm publish, .env reads, and the CVE-2025-59536 subcommand-chain bypass are critical-class by default. Critical calls are refused with a plain-English reason and a single-use, 10-minute quill approve <token>; on macOS the approval is hardware-attested through Touch ID on the Secure Enclave. Files an agent writes are scanned with the same 26 secret patterns and an AST pass (code_scan.py) that flags destructive Python shapes (shutil.rmtree, os.system, exec(b64decode(...))) before a later python foo.py can run them. Every decision lands in ~/.quill/audit.log.jsonl, HMAC-SHA256 chained for tamper evidence.

Supporting surfaces on the local gate, all derived from the same chain on read: quill receipts (per-session did / changed / uncertain / to-verify), quill trifecta (lethal-trifecta exposure: untrusted input + private data + exfil vector), quill pins (tool-description pinning against MCP rug-pulls), quill decay (permissions that erode without reinforcement), and quill audit (review and verify the chain). quill scan-secrets runs the secret detectors standalone over files.

Why this is defense-in-depth and not the headline: an application-layer gate can be routed around by a capable adversary (the limits above). The provable boundary is the CI gate, which runs where the agent cannot disable it and produces a signed record. The local gate is real and useful, but its honest claim is "raises the bar and records everything," not "cannot be bypassed."

The signed audit log

Both surfaces write to $QUILL_HOME/audit.log.jsonl, mode 0o600. Each entry's mac is HMAC-SHA256(prev_mac || canonical(payload)) under your installation's key (auto-generated at first run, stored at $QUILL_HOME/key, mode 0o600). Writes take fcntl.flock(LOCK_EX) and re-read the tail MAC inside the lock so concurrent writers can't break the chain. A sealed <log>.head high-water-mark lets verify detect trailing truncation, not just edits and insertions.

quill audit verify
# chain intact: 32332 entries verified.

That count is from ~45 days of real dogfooding on the maintainer's machine; your own log starts at one. The chain is locally tamper-evident (and optionally externally anchored) — see docs/SECURITY-MODEL.md for exactly what that does and does not buy.

Install

uvx --from quillx quill begin --help     # no install; run it once
pipx install quillx                      # or install the CLI persistently
pip install quillx                        # or into an existing venv

The PyPI dist name is quillx because the quill name is held by an unrelated package; the CLI binary, import path (quill), config dir (~/.quill/), env vars (QUILL_KEY), and brand all stay quill. A PEP 541 reclaim for the canonical name is in flight (not yet granted); if it lands, quillx becomes a transitional alias. For a development checkout: git clone https://github.com/manumarri-sudo/quill && cd quill && pip install -e ..

CLI surface

quill begin          capture the approved task into .quill/contract.json
quill verify         compare the diff to the contract, emit PASS / NEEDS_REVIEW / BLOCK
quill onboard        first-run setup for the local gate (detect agents, install hook)
quill audit          review what got blocked / allowed / asked; verify the chain
quill approve <tok>  confirm a pending one-shot approval (Touch ID on macOS)
quill approvals      list (hashed ids) / revoke pending approval tokens
quill receipts       per-session did / changed / uncertain / to-verify
quill trifecta       lethal-trifecta exposure tracking
quill pins           tool-description pins (anti-poisoning, anti-rug-pull)
quill decay          permissions that erode without reinforcement
quill scan-secrets   scan files for hardcoded credentials
quill scan-prompts   scan files for prompt-injection-shape patterns (signal only)
quill commit-hook-install   add a session-summary block to the commit message template
quill doctor         diagnose the install
quill version        print the version

Run quill --help for the full list (including night/off gate-weakening toggles — read docs/SECURITY-MODEL.md before using them).

What's shipping today vs. on the roadmap

Shipping (0.2.0a5), with on-disk evidence: the Change Control flow (begin/verify/passport + GitHub Action), the HMAC-chained audit log (32k+ entries dogfooded, truncation-detectable, quill audit verify clean), the local PreToolUse gate with Touch ID approvals and 26-pattern secret detection, the write-then-run AST scan, and the read-side surfaces (receipts, trifecta, pins, decay). 1030 tests pass; ruff, ruff format, and mypy --strict are green and enforced in CI.

Roadmap (not shipping today, do not assume present): PR-comment rendering of the passport (the Action publishes a Status Check today), the lethal-trifecta enforcement escalation as a CI signal, per-tool hook adapters for Cline / Aider / Continue / Windsurf / Zed, WebAuthn for cross-platform hardware-attested approval, and a from quill import gate BYO-agent library API. The MCP proxy, OS sandbox, desktop dashboard, and out-of-band notification channels that earlier previews shipped were removed in the Change Control pivot and are not coming back in this line.

Security

quill is itself security-critical code. The threat model, the honest list of what the gate stops well and where it can be bypassed, and the responsible-disclosure address are in SECURITY.md and docs/SECURITY-MODEL.md. When PyPI publishing is wired, releases will be signed via PyPI Trusted Publishing with PEP 740 attestations (planned, not yet in place).

Contributing

Missed a dangerous-action class, a scope-bypass on the diff parser, or a false positive? Open an issue with a repro. Adapters live under src/quill/adapters/.

License

MIT. See LICENSE. Vendored third-party code is attributed in NOTICE. Version history in CHANGELOG.md. Repo: github.com/manumarri-sudo/quill.


Built with assistance from Claude (Anthropic).

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Categories
AI & LLM ToolsMonitoring & Observability
Registryactive
Packagequillx
TransportSTDIO
UpdatedMay 28, 2026
View on GitHub

Related AI & LLM Tools MCP Servers

View all →
SkillFM LLM Cost Optimizer

io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage

LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.
Llm Orchestration Agent

io.github.mikerawsonnz/llm-orchestration-agent

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Authenticated Llm Agent

io.github.mikerawsonnz/authenticated-llm-agent

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
Copilot Memory MCP

labforgedev/copilot-memory-mcp

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
1
Agent Prompt Injection Firewall Mcp

csoai-org/agent-prompt-injection-firewall-mcp

The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool argume...
Authenticated Multi Llm Agent

io.github.mikerawsonnz/authenticated-multi-llm-agent

Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f