Slipmark

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Slipmark

A Reply Intelligence Group project.

Make AI agents prove what they checked.

Add it to a workflow:

- uses: actions/checkout@v4- uses: founder-ship-it/[email protected]  with:    require: |      specs/your-spec.md

When a file changes after an agent signed it off, the build refuses:

Slipmark verify: 1 verified · 1 refused
  ✓ verified             review-agent verified examples/attestation/brief.md  ✗ hash_mismatch        security-audit-agent gave "cleared" for a different version of                         examples/attestation/spec.md. The file changed after the verdict.

Set it up in one command: npx slipmark init. Your coding agents then write their sign-off with slipmark attest (see Works with your coding agent). No model calls, no account, one GitHub Action.

A slip mark is the paint line engineers draw across a bolt once it has been tightened and checked. If the bolt ever moves, the line breaks and everyone can see it. Slipmark does the same for AI agent verdicts: once an agent signs off a file, any change after that breaks the mark.

Agents now review code, audit specs and sign off their own work. The weak point is the verdict. An agent can report "passed" about a file that has since changed, or that it never looked at, and nothing downstream can tell.

Slipmark does two things:

1. Verdict attestation. Every agent verdict is bound to a SHA-256 hash of the exact files the agent read. Before anything ships, the gate re-hashes them. Mismatch, missing file, failing verdict, or nothing attested at all: it refuses. Deterministic, no model calls, one GitHub Action.
2. Drift diagnosis. Behavioural "locks" for your AI features. When a change breaks one, Slipmark says what likely broke it, how sure it is (and refuses to fake confidence it doesn't have), and hands your coding agent a repair prompt.

Status: v0.6.2, early. Apache-2.0. Optional hosted layer: Slipmark Cloud.

Why the gate exists

We run a nightly pipeline of 20+ agents: research, architecture, security audit, build, QA. Every morning they reported what passed.

Then we found the final verification job had been checking the wrong branch for months. It could not fail, so it never did. Months of green ticks, proving nothing.

So we built the gate: bind every verdict to the hash of what it read, and re-check before shipping. Pointed at 23 open agent pull requests, it refused all 23.

What Slipmark proves, and what it doesn't

Slipmark doesn't decide whether your agent is right. It makes sure the verdict you are trusting is about the code you are shipping.

It proves:

• The verdict was given on these exact bytes. Change one and the verdict stops counting.
• Every file you require has a current, passing verdict. A missing verdict is a refusal, not a silent pass.
• The answer is the same every time. No model calls, no scoring, no judgement.

It doesn't prove:

• That the agent was smart. If an agent misses a bug on day one, Slipmark will pass that file for as long as it stays unchanged. That is the agent's verdict, faithfully kept.
• Who wrote an unsigned attestation. Anyone who can push can write "by": "security-reviewer". Require signed verdicts and only verdicts signed by a workflow you trust count.

So pair it with the checks you already trust. Slipmark is the lock on the verdict, not the verdict. If you want stronger verdicts, require more of them: coverage of every changed file, checks Slipmark runs itself, or a re-review when the model changes. Those are on main now (docs/attestation.md). Two independent reviewers on sensitive paths, and the rest of attestation v2, are next.

Quick start

In the repository you want to protect (Node 22.6 or later):

npx slipmark init

  + create .slipmark/attestations/.gitkeep      attestation directory, committed with the repo  + create .github/workflows/slipmark.yml       report-only gate on pull requests  + create AGENTS.md                            agent instructions for attesting verdicts  ~ update CLAUDE.md                            agent instructions for attesting verdicts

That is the whole setup:

• A workflow that runs the gate on every pull request. It starts in report-only mode, because a repo with no verdicts yet would otherwise fail. Set fail-on-refusal: "true" once your agents are attesting.
• Agent instructions in AGENTS.md, plus CLAUDE.md, Cursor rules or Copilot instructions if your repo already has them. Re-running init updates the block in place and never touches anything else in those files.

Check any time with npx slipmark verify. Commit .slipmark/attestations/.

Works with your coding agent

The instructions init writes are enough for agents to attest on their own. We gave Claude Code a plain review task in a fresh repo, with no mention of Slipmark:

Review src/export.ts against specs/invoice-export.md. Does it meet the spec?

It read both files, found the export was not CSV, and recorded:

{  "by": "reviewer",  "verdict": "fail",  "subjects": [    { "path": "src/export.ts", "sha256": "0ea6029f…" },    { "path": "specs/invoice-export.md", "sha256": "81994e0f…" }  ],  "note": "Tenant filter and 10k limit OK; no CSV output, returns raw query result"}

Both files it based the verdict on, not just the one under review. When the code is fixed, the old verdict stops counting until the agent reads it again.

Setup notes for Claude Code, Cursor, Copilot and Codex are in docs/agents.md.

Claude Code plugin

For Claude Code there is also a plugin. It adds a skill so Claude records verdicts without any repo instructions, /slipmark:verify and /slipmark:setup commands, and a stop check that asks Claude to re-read and re-attest when a file it signed off has changed since.

/plugin marketplace add founder-ship-it/Slipmark/plugin install slipmark@slipmark

Details, including exactly what it runs, in claude-plugin/.

MCP server: Codex, Cursor, Copilot, Gemini

slipmark mcp serves slipmark_attest and slipmark_verify as MCP tools, so any agent that speaks MCP can record and check verdicts. For OpenAI Codex, in ~/.codex/config.toml:

[mcp_servers.slipmark]command = "npx"args = ["-y", "[email protected]", "mcp"]

Setup for Claude Code, Cursor, Copilot in VS Code and Gemini CLI is in docs/mcp.md. Agents can't record a human approval through it.

Verdict attestation

1. The agent attests what it read. Call this at the end of any agent step that gives a verdict:

slipmark attest --by security-audit-agent --verdict cleared \  --subject specs/invoice-export.md --subject src/export.ts

That writes .slipmark/attestations/<agent>--<file>.json:

{  "schema": "slipmark/attestation@1",  "by": "security-audit-agent",  "verdict": "cleared",  "at": "2026-10-17T09:00:00.000Z",  "subjects": [    { "path": "specs/invoice-export.md", "sha256": "cf89da70…" }  ]}

2. The gate checks it before anything ships.

slipmark verify --require specs/invoice-export.md

Passing verdicts are pass and cleared. An empty gate is a refusal, never a silent pass. --json prints the full report for other tools.

Stronger verdicts (on main, unreleased). Record what the verdict was checked against, and let Slipmark run the checks itself:

slipmark attest --by reviewer --verdict pass --subject src/export.ts \  --against specs/invoice-export.md --run "npm test"

A failing --run refuses a passing verdict. Then require a verdict for every changed file, not just the ones you listed:

slipmark verify --coverage diff --base origin/main

Details in docs/attestation.md.

Agent context

Your reviewer passed the code. But who wrote the reviewer's instructions? The coding-agent attacks of 2026 changed AGENTS.md, skills and MCP configs and left the reviewed code alone. Add "context": {} to .slipmark/policy.json and Slipmark binds each verdict to the agent's instructions too:

• a verdict given under instructions that later changed stops counting
• a change to AGENTS.md, CLAUDE.md, a skill or an MCP config needs an approver's verdict (pair it with CODEOWNERS, or require signed approvals)
• changed instructions must be plain Markdown that GitHub shows in full: an allow-list refuses anything else (HTML, comments, images, diagrams, anything GitHub adds later), and in GitHub Actions each file is checked against GitHub's own renderer
• context files that link outside the watched set are refused

The policy is read from the base branch, so a pull request can't switch this off. What it doesn't cover yet is listed in the docs. Details in docs/attestation.md.

See it refuse five real attack patterns (Ghostcommit, Deadbugz, hidden comments, invisible Unicode, a PR switching the checks off) as open pull requests in slipmark-context-demo.

Signed verdicts

Prove who gave the verdict, not just what it was about (on main, unreleased). Run the review agent in a GitHub Actions job and sign as it attests:

slipmark attest --by security-reviewer --verdict pass --subject src/auth/session.ts --sign

The verdict is signed with the job's own GitHub identity through Sigstore: no keys to manage, and every signature is in a public transparency log. Then only count verdicts from the workflow you trust:

- uses: founder-ship-it/Slipmark@main  with:    require-signed: "true"    trusted-signers: |      https://github.com/acme/api/.github/workflows/agent-review.yml@refs/heads/main

A verdict typed by hand, made by another workflow, or edited after signing is refused. Details, including which ref to trust, in docs/attestation.md.

As a GitHub Action:

- uses: actions/checkout@v4- uses: founder-ship-it/[email protected]  with:    require: |      specs/invoice-export.md

Rolling it out gently? Set fail-on-refusal: "false" to report refusals as warnings without failing the build. The step's result output is passed or refused either way.

Formatters. A formatter run changes the bytes, so it breaks a verdict like any other change. Run formatters before your agent attests (first in your pre-commit hooks) and most of this goes away. Formatting-tolerant hash modes and re-reviewing only the diff are planned for v0.5.

Run it on the branch you are about to merge. Because it checks content, not branch names, a verdict produced on one branch can't clear a different tree.

More in docs/attestation.md.

Slipmark Cloud

The gate above is free, open source and needs no account. Slipmark Cloud is the optional hosted layer for teams that need the record, not just the build result:

• An append-only, hash-chained ledger of every run, with a proof page per run. Nothing in it can be edited or deleted, and the chain heads are published daily to Sigstore's public Rekor log, so anyone can check the history wasn't rewritten.
• It doesn't take CI's word for it. Cloud re-reads the attestations and the attested files from GitHub's own copy of the commit and works out every result again.
• Rules as a required check. For example, "changes under src/auth/** need a passing verdict from security-reviewer", posted to the pull request as Slipmark policy. Admins can approve a failing check, but only with a written reason that goes on the record.
• Alerts that say what to do. Slack, Microsoft Teams, Discord, Google Chat, PagerDuty, email, or signed webhooks (Standard Webhooks) to anything else. Each failure names the rule, the files, the agent that needs to sign off and the command to fix it. Route by repository and rule, and ping the right people. PagerDuty incidents close themselves when the pull request passes.
• The Slipmark Slack app. One thread per pull request, and admins can approve a failing check from Slack with a written reason that goes on the record.
• Weekly summary of runs, blocked pull requests, stale verdicts caught and every override.
• Insights and audit evidence packs for SOC 2 CC8.1 and ISO 27001 change-management controls: a PDF for the auditor with the JSON attached inside it.

Turn it on by installing the Slipmark GitHub App and adding two lines to the workflow:

jobs:  verify:    runs-on: ubuntu-latest    permissions:      contents: read      id-token: write   # GitHub signs a token saying which repo and run this is. No API key.    steps:      - uses: actions/checkout@v4      - uses: founder-ship-it/[email protected]        with:          cloud: "true"

cloud never changes the gate result. The gate itself is free for every repository, public or private. Cloud is free for public repositories. Private repositories are £15 a seat a month on Team (minimum 3 seats), with a 14-day free trial. See the quick start and pricing.

Drift diagnosis: why it's different

Most AI-eval / observability tools focus on detection (score outputs, flag a regression, draw a dashboard). Slipmark's distinctive half is diagnosis + repair, and it is deliberately honest about certainty.

Confidence is earned, not guessed — a three-tier honesty cap:

• It refuses to fake precision. At low confidence it withholds ranked files entirely and flips into an explicit investigation mode ("do not apply blind fixes").
• The repair prompt is mode-gated — suggest_patch (high), minimal_fix (medium), investigate_first (low) — so an agent gets the right amount of rope.
• Anti-gaming: every prompt forbids editing the lock/fixtures to force a pass.

Earned causal evidence

When the evidence exists, Slipmark surfaces the smoking gun, not a guess:

• Execution traces — a lock instruments itself (modules/symbols exercised, observations like intentSourceUsed="first"), so diagnosis is backed by what the code actually did.
• Bisection — bisectFirstFailing() is a real "git-bisect for AI behavior": given a commit history and a probe, it binary-searches the culprit commit in ~log₂(n) steps. The host supplies the probe (check out + re-run); the engine owns the algorithm.
• Changed watched-symbols — a lock declares the symbols its invariant depends on; when the diff changes one of them, that's earned evidence the specific code behind the behavior moved.

The drift demo

The demo (packs/demo-shop) is an e-commerce support assistant — deliberately not the original product — to prove the engine generalizes. It ships with one planted regression so you can watch Slipmark catch and diagnose it.

Slipmark — pack `demo-shop`  1 passed · 1 drifted · 0 errored (of 2)  ✗ shop.latest_intent_wins — drift      cause: Likely: stale intent carryover …  Probable hot-spot: `…/shopAssist.ts` (85% relevance).      confidence: high (86%) · severity: high · mode: suggest_patch

Flip PLANTED_BUG to false in packs/demo-shop/shopAssist.ts and the lock turns green.

How it works

locks (your behavioral invariants)   │  run() → pass / drift + failed assertions   ▼engine   ├─ signatures      match the failure to a known drift pattern   (pack-supplied)   ├─ scorer          rank changed files + modules by relevance   ├─ confidence      structured score + honesty caps + tier-gating   └─ repairPlan      mode-gated, coding-agent-ready repair prompt   ▼DriftAnalysisReport  (cause, ranked files/modules, confidence, repair prompt)

Authoring locks — two ways

1. Config-only (JSON, no code) — the fastest start

Define a pack in plain JSON and point each lock at a target command that emits your AI's output. Slipmark runs the command with your fixture on stdin and asserts on stdout — it does not care what language your system is in:

{  "id": "my-product",  "locks": [{    "key": "support.latest_intent_wins",    "scope": "ai",    "invariants": ["When the user pivots topic, the reply addresses the latest intent."],    "failureSignatures": ["stale_intent_carryover"],    "watchedSymbols": ["composeReply"],    "target": { "command": "node assistant.mjs", "inputFormat": "stdin-json" },    "fixture": { "turns": [/* ... */] },    "assertions": [      { "name": "focuses_on_latest_intent", "type": "matches", "value": "track|delivery" },      { "name": "no_prior_intent_carryover", "type": "not_matches", "value": "return|refund" }    ]  }]}

slipmark ./drift.pack.json --emit .slipmark

Assertion types: contains, not_contains, matches, not_matches, equals, not_equals. Omit target.command for "golden mode" (the fixture itself is the output). See packs/demo-shop-declarative/ for a complete working example.

2. TypeScript (full power)

For arbitrary verification logic, self-instrumenting execution traces, or in-process targets, define a Pack in TypeScript.

The Pack — the entire extensibility story

The engine imports nothing domain-specific. A Pack carries it all:

import { definePack } from "slipmark";
export const myPack = definePack({  id: "my-product",  signatures: [ /* how to recognise your drift patterns */ ],  signatureToModules: { /* signature → modules it implicates */ },  baseConstraints: [ /* do-not-break rules injected into every repair prompt */ ],  scopeConstraints: { /* per-scope extra constraints */ },  scopeImpact: { /* per-scope business impact copy */ },  signatureGoals: { /* per-signature repair goal */ },  signatureImpact: { /* per-signature impact */ },  diffKeywords: [ /* domain words that align a diff to behaviour */ ],  systemMap: { modules: [ /* your module responsibilities */ ] },  locks: [ /* your behavioral invariants */ ],});

Swap the pack, point it at a different product — zero engine changes. That is the whole point of the standalone extraction.

CLI

slipmark init [--dry-run] [--no-workflow] [--no-agents] [--force]slipmark <pack.js> [--git <git-context.json>] [--prompts] [--emit <dir>]slipmark attest --by <agent> --verdict <pass|cleared|fail> --subject <file>... [--note "..."] [--out <file>]slipmark verify [--dir .slipmark/attestations] [--require <file>...] [--json]slipmark bisect --range <git-range> --command "<probe>"slipmark dashboard <pack> --history <h.json> --out <file.html>

Exits non-zero if any lock drifts or errors, so it gates CI. Pass a git context (changed files since the last passing run) to lift confidence from "signature heuristic" to "evidence-backed" and reveal ranked files.

Bisection — find the culprit commit

The engine ships a real "git-bisect for AI behavior". Point it at a range and a probe command (exit 0 = the lock passes); it binary-searches the commit that introduced the regression and restores your working tree afterward:

slipmark bisect --range "main~30..main" \  --command "npm run build --silent && node dist/src/cli.js dist/packs/demo-shop/pack.js"

  ✗ first failing commit: deadbeef…    last good commit:    00aa11bb…    probes evaluated:    5          # not 30 — ~log2(n)

A bisected culprit is the strongest causal evidence Slipmark has: it lifts the confidence cap and the precise commit range flows into the repair prompt.

Local dashboard

Slipmark renders a self-contained HTML dashboard: drift trend over runs, lock status, confidence bars, and drill-down repair prompts, from a local run-history JSON file. For a shared, hosted view across repositories, see Slipmark Cloud.

# Run a pack and append the result to a rolling history, then render the dashboard:slipmark dashboard ./drift.pack.json --history .slipmark/history.json --out dashboard.html
# Or render an existing history file:slipmark dashboard --from dashboard/sample-history.json --out dashboard/sample.html

The --history file accumulates runs over time. See dashboard/sample.html for a rendered example.

Coding-agent integration

--emit <dir> writes, for each failing lock:

• <lockKey>.repair.md — the ready-to-run repair prompt
• index.md — a summary linking every repair
• AGENT_RULES.md — drop into .cursor/rules/ or CLAUDE.md so any coding agent treats Slipmark prompts safely (respect investigation mode, never edit locks to force a pass, re-run locks after changes)

Hand a prompt to Claude Code headlessly:

claude -p "$(cat .slipmark/shop.latest_intent_wins.repair.md)"

This is the wedge: most tools tell you a metric dropped. Slipmark tells your agent what likely broke it and how to fix it safely — and refuses to do so overconfidently when the evidence isn't there.

Roadmap to "elite"

1. Deeper causality — built. Execution traces, real bisection (bisectFirstFailing), and changed-watched-symbol analysis now feed an earned, three-tier confidence model. ✅
2. Coding-agent integration — built. --emit writes repair prompts + AGENT_RULES. ✅
3. Bisection host adapter — built. slipmark bisect / runGitBisect checks out real commits, runs a probe, and restores the tree. ✅
4. Self-serve authoring — built. Define packs in plain JSON with target commands and declarative assertions — no TypeScript required. ✅
5. Dashboard view — built (static). Self-contained HTML dashboard with drift trend, lock status, and drill-down repair prompts, backed by a run-history JSON. ✅
6. Verdict attestation, built. slipmark attest / verify and a GitHub Action bind agent verdicts to SHA-256 hashes and refuse on mismatch. ✅
7. Hosted cloud (open-core), built for attestation. Slipmark Cloud: ledger, server-side re-verification, rules, alerts, evidence packs. ✅
8. Attestation v2 (next): which model gave a verdict, checks Slipmark runs itself, coverage of every changed file, quorum on sensitive paths, and formatting-tolerant hash modes.

Developing Slipmark

npm installnpm test              # 40 testsnpm run demo:verify   # the attestation gate refusing a stale verdictnpm run demo          # drift diagnosis on the demo pack

Documentation

• Verdict attestation: the schema, the statuses, wiring agents in.
• Coding agents: Claude Code, Cursor, Copilot and Codex setup.
• MCP server: slipmark mcp for any agent that speaks MCP.
• Attestation v2 (draft): richer attestations, coverage, quorum, delta re-attestation, human overrides.
• Hash modes (draft): formatting-tolerant hashing, chosen per path by policy.
• Concepts — the mental model (locks, packs, signatures, the honesty model, repair prompts).
• Authoring guide — JSON and TypeScript packs, assertion types, bisection wiring.
• Contributing — setup, layout, the non-negotiables.
• Changelog.

License

Apache-2.0. See LICENSE and NOTICE. The reasoning behind the choice is in LICENSE-OPTIONS.md.

Slipmark is built by Reply Intelligence Group, Watford, UK. © 2026 Reply Intelligence Group Ltd.