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Security inside the AI coding agent.
Your coding agents shouldn't reverse-engineer your security posture on every task. Heeler embeds into Claude Code, Cursor, Copilot, and any MCP client so they don't have to — vulnerability details, safe upgrade paths, package impact, and runtime exposure arrive in the agent's reasoning at the moment of decision. Security intelligence your agents can actually use, specific to your environment — not generic advice, not a post-hoc ticket.
Security during code generation — not after.
The volume of AI-generated code has destroyed the assumption that a human reviewer will catch security mistakes. The gap between what agents produce and what teams can review, triage, and remediate widens every sprint. The economics shifted; the playbook hasn't.
Agents don't know your policies
Coding agents make decisions about dependencies, secrets, and patterns with no view of your org's rules, threat model, or runtime exposure.
Reviewers can't keep up
By the time scanner output reaches a human, the agent has generated five more PRs. Volume defeats triage; the backlog wins.
Legacy tools fire too late
Linters and SAST run when the agent is gone. Findings become tickets. Tickets become backlog. Nothing was prevented.
Three places Heeler shows up inside the agent.
Heeler treats coding agents as first-class consumers of your security context — the same graph a PR guardrail reads, the agent reads too.
Heeler MCP server
An MCP-compliant server that lets coding agents call Heeler at the moment of decision. Check a dependency before introducing it. Validate that a generated secret is actually a placeholder. Look up the policy for a service. Heeler responds with org-specific context, not generic advice.
- Tool calls including get_vulnerabilities_for_project, get_sast_results_for_file, guardrail_list, service_risk_brief
- Compatible with any MCP-supporting agent
- Org context, threat data, and runtime exposure included in every response
Heeler Agent Skills
Heeler-authored skills that AI coding agents auto-load and reference. Skills encode your security policies, approved dependencies, and remediation patterns — so agents follow them by default, not as an afterthought.
- Skills cover dependency upgrades, secret handling, malicious-package detection, and remediation flows
- Org-specific overrides for approved packages and forbidden patterns
- Updated continuously as policies and threats change
Heeler CLI
Local and CI-side checks that run the same logic as the MCP server. Developers and agents can run heeler check before committing — catching what review would have caught, before review starts. Offline secret detection is built in.
- Pre-commit checks for SCA, secrets, and malicious packages
- Same policy as CI and the platform
- Runs offline; source code never leaves the machine for secret detection
One security posture across every agent your developers use.
Anyone can tell an agent to 'be secure.' That's a prompt, not a program — it varies by developer, model, and day. Heeler makes posture consistent and repeatable: one central policy, defined once by security and applied identically across every agent below, then enforced again at the PR as an auditable guardrail check. Not re-invented per tool, per model, per person.
RELATED · AGENT SKILLS SECURITY
The agent skills themselves are an attack surface.
A different job from everything above. The MCP server, Skills, and CLI put Heeler's security context inside your coding agents — Agent Skills Security does the reverse, inspecting the instruction and skill files those agents load (CLAUDE.md, AGENTS.md, SKILL.md, .cursorrules, mcp.json) for prompt injection and malicious behavior before they reach your developers. It's a separate capability, with its own page.
Safety score per file
Every skill and instruction file gets a deterministic score, banded from info to critical.
Benign · suspicious · malicious
A static pass plus an LLM judge return a verdict you can gate a pull request on.
Attack categories
Prompt injection, data exfiltration, remote code execution, privilege escalation, secrets exposure, and more.
One policy. Every layer of prevention.
Heeler runs the same policy everywhere your code moves, read from one model of your environment in the Context Engine. Agent Skills and the MCP server are the layer inside the coding agent — they don't replace the others, they share their policy and their findings.
Agent Skills & MCP
Inside the AI coding agent, as code is generated.
In the terminal, before commit.
Native status checks on the pull request, server-side.
Routing, tickets, and fixes after merge.
One model of your code, cloud, and risk that every layer reads — so the policy is the same at each one.
Same policy, same findings, one source of truth — whether a check runs in an agent, your terminal, the PR, or a workflow.
See it run on your repos.
A demo on your own codebase shows what Heeler would have caught — and prevented — in your last week of AI-generated PRs.
