Quaere Audit

Security Audit Loop

Iron Law

No security finding is confirmed without a falsifiable property, a reachable attacker-controlled path, a missing or failed guard, concrete impact, and a disconfirming false-positive pass.

This is the security version of evidence-gating. Dangerous APIs, scary strings, stale advisories, and pattern matches are leads, not findings. A finding becomes actionable only when the audit can show why the property should hold, where an attacker crosses a boundary, which sink/state/guard fails, what impact follows under the threat model, and what counter-evidence was checked. If any link is missing, classify it as potential, rejected, or inconclusive.

When to use

• Vulnerability discovery, security code review, bug bounty preparation, exploitability triage, or protocol/spec-grounded auditing.
• Auth/authz, tenant isolation, injection, parser, sandbox, cryptography, consensus, payments, secrets, SSRF, deserialization, supply-chain, cloud/config, or CI/CD security work.
• Security-sensitive PRs or incidents where false positives, unsafe probes, or stale external facts would be costly.

When NOT to use

• Pure dependency lookup or CVE freshness checks with no local exploitability analysis; use quaere-grounding first.
• Normal implementation after a vulnerability is already confirmed and a fix is authorized; use quaere-execution.
• General maintainability review, one-line known fixes, or shallow checklist-only reviews.
• Any task whose rules of engagement are missing and probing could affect third-party or production systems; stop and ask.

Handoff triggers (which skill comes after this one)

Audit coordinates other skills; hand off when the blocking question is not security-property mapping:

• Code intent, invariants, failure modes, or downstream connections are unclear → quaere-semantic.
• Current specs / CVEs / advisories / docs / cloud behavior / framework guidance / CLI behavior / bounty rules must be anchored → quaere-grounding.
• A subtle / disputed / security-sensitive candidate finding still needs proof before being confirmed → quaere-evidence.
• Safe PoC, regression test, or authorized fix is the next step → quaere-execution.

The standard handoff payload (Confirmed inputs / Inconclusive inputs / Required next skill / Stop condition) is documented at the end of this file under "Coordination with other skills".

Core model

Scope / ROE        target, assets, actors, trust boundaries, source-of-truth specs, unsafe actions
Tier               Triage / Standard / Deep, selected by scope and blast radius
Security Property  falsifiable invariant/rule mapped to spec, ASVS/WSTG/NIST/CWE when relevant
Threat Path        attacker source -> trust boundary -> sink/state transition/missing guard -> impact
Attack Surface     entrypoints, actors, external input, privilege/state boundaries, alternate paths
Code Map           files, symbols, callers/callees, storage/state, validation layers, configs
Proof Attempt      evidence that each property sub-claim holds or breaks on reachable paths
Gate Pass          reachability, attacker control, existing guard, scope, impact, repro strength
Severity           priority calibrated by impact, exploitability, blast radius, CVSS/SSVC/KEV/EPSS when relevant
Decision           confirmed / potential / rejected / inconclusive
Repro / Evidence   safe test, command, trace, minimal PoC, or why PoC is unsafe/unavailable
Handoff            findings, rejected claims, uncovered risks, skipped tools, next probes

Security auditing is property-driven, not bug-class-driven. OWASP Top 10/CWE labels help classify a finding after evidence exists; they do not prove the finding. For web/appsec properties, prefer versioned ASVS/WSTG references when applicable. For current CVEs, advisories, cloud defaults, framework guidance, or bounty rules, use quaere-grounding before relying on the fact.

Depth control

• Triage audit (one endpoint/component or short bug-bounty pass) — compact property ledger, highest-risk surfaces first, four-condition Confirmation Rule. Do not invoke companion skills unless promotion is triggered or a blocking fact requires them.
• Standard audit (feature, API boundary, protocol subsystem, or security-sensitive module) — full property ledger, attack-surface map, proof traces, false-positive gates, severity/confidence, external facts grounded, candidate findings defended with quaere-evidence.
• Deep audit (multi-system, protocol, crypto, consensus, payments, parser, sandbox, concurrency, or high-blast-radius target) — batched ledger, semantic review for critical paths, stronger repro/independent verification, artifacted findings, and explicit uncovered-risk list.

Do not expand scope just because the codebase is large. Start from assets, trust boundaries, and rules of engagement. Promote the tier when blast radius demands it; never lower the tier to make a finding easier to confirm.

Confirmation Rule (summary — full rule under ## Confirmation Rule near the end): Triage confirmed requires all 4: (1) explicit property and concrete proof gap naming the missing or failed guard, sink, or invariant; (2) code evidence that the gap is reachable from attacker-controlled input; (3) false-positive gates run, including at least one disconfirming probe that names what was actually consulted (file/symbol/caller/config/spec) or the command/test actually run — absent a named consulted artifact, cap the finding at potential; (4) safe repro/trace or strong reasoning for non-trivial impact, or a recorded safety reason. Standard adds (5) external facts grounded via quaere-grounding and (6) quaere-evidence failed to reject the finding; Deep adds (7) quaere-semantic mapped the critical path. Promote high-blast-radius Triage findings (consensus break, funds movement, auth bypass, parser RCE, sandbox escape, key compromise, mass/bulk tenant data exposure, cross-tenant write, tenant impersonation, multi-tenant secret leak) to Standard before confirmed.

Safety boundaries

Default to read-only analysis. Ask first before:

• production-like requests, replaying webhooks/events, destructive PoCs, brute force, scanning third-party hosts, credential use, payment/funds movement, exploit payloads against live services, or rate-limit/DoS tests
• changing code, adding PoCs/tests, deploying, rotating secrets, or modifying configs

Prefer safe substitutes: local fixtures, sandboxed test environments, dry runs, synthetic inputs, symbolic traces, or code proofs. If a safe repro cannot be produced, record why and classify accordingly; do not run unsafe probes just to strengthen a report.

Stop now — hard stops (full list under "Stop conditions" at the end): stay read-only and ask before any unsafe or production-touching probe; never run an unsafe probe just to strengthen a report; do not promote a finding to confirmed until it passes the false-positive gates; stop at the verification budget and hand off rather than looping.

Workflow

1. Scope and rules of engagement

Define before searching for bugs:

• target repository/module/commit/version/deployment assumptions
• assets: funds, consensus, data integrity, privacy, auth, availability, sandbox, secrets
• actors and capabilities: unauthenticated user, tenant user, admin, compromised service, external node, malicious file, CI actor
• trust boundaries and data flows
• source-of-truth specs: ASVS/WSTG IDs, protocol docs, RFC/EIP, API schemas, tests, types, bounty rules, historical incidents
• non-goals, explicit exclusions, disclosure constraints, unsafe actions, and PoC permission
• selected tier and rationale

If the scope is missing or unsafe, ask before probing.

2. Derive falsifiable security properties

Create a property ledger. Translate broad bug classes into explicit assertions:

Property: A request authenticated as user U must not read invoice I unless I.organization_id is in U.allowed_organization_ids, including export and background-render paths.
Source: tenant-isolation requirement / ASVS 5.0.0 access-control control / product spec
Expected enforcement: route guard before object fetch; render job re-checks tenant context
Failure impact: cross-tenant invoice disclosure

Property sources include normative spec language, auth/tenancy rules, parser/decoder contracts, state-machine transitions, crypto/consensus/accounting invariants, resource bounds, tests, types/schema constraints, persistence assumptions, and historical fixes. See references/property-types.md for property shapes.

3. Map attack surface and threat paths

For each high-value property, map:

• attacker source: actor, controlled request/input/file/message/state/config
• trust boundary: route/RPC/parser/job/webhook/service boundary, tenant boundary, privilege transition, wallet/signer boundary
• sink or missing guard: data read/write, command execution, deserialization, allocation, funds movement, signature check, state transition, secret access
• mitigation check: caller/callee guard, middleware, schema, database constraint, feature flag, protocol layer, sandbox, rate limit
• impact: confidentiality, integrity, availability, funds, consensus, auth bypass, privacy, sandbox escape, key compromise

Do not audit only the obvious primary function. Include alternate constructors, deserializers, imports, sync/admin/migration paths, background processors, persistence boundaries, cache invalidation, retries, and error paths when they can affect the property.

4. Attempt proofs and record gaps

For each property:

1. Decompose it into sub-claims.
2. Map each sub-claim to code, config, tests, or spec.
3. Try to prove it holds for all reachable attacker-controlled paths.
4. Record exact evidence: file, symbol, branch, guard, test, config, source URL, or missing check.
5. If proof fails, record the proof gap and the smallest safe trigger path.

If code intent/invariants are unclear, invoke quaere-semantic. If the proof depends on current docs, CVEs, advisories, API behavior, cloud defaults, or bounty scope, invoke quaere-grounding. If the candidate finding is subtle or disputed, invoke quaere-evidence before reporting.

5. Run false-positive gates

Before confirmed, run all gates from references/fp-gates.md:

• reachability from relevant actor
• attacker control over the critical value/state
• existing guard or compensating control
• scope/exclusion/accepted trust assumption
• meaningful security impact
• repro or evidence strength

Also perform a second-pass falsification: actively ask what benign explanation, compensating control, deployment assumption, or alternate path would invalidate the finding. Drop pattern-only findings, best-practice-only issues, and theoretical impacts unless the user explicitly asked for hardening suggestions.

6. Decide severity and confidence

Decisions:

• confirmed — property + reachable attacker path + failed guard + impact + gates + repro/trace meet the tier's Confirmation Rule
• potential — plausible proof gap but incomplete reachability, impact, grounding, or safe repro
• rejected — gate or defense defeats the claim
• inconclusive — evidence unavailable or unsafe within scope; include next probe

Severity should be calibrated, not guessed. Use project severity rules when supplied. Otherwise consider impact, exploitability, privileges, user interaction, blast radius, exposure, and whether KEV/EPSS/SSVC/CVSS applies. CVSS is a vector and input to prioritization, not the whole risk decision. CWE describes root cause after the weakness is established.

7. Reproduce or constrain safely

For confirmed or high-value potential findings, provide the smallest safe verification:

• unit/integration/security test
• command-line repro or request sequence against local/sandbox target
• crafted input, parser corpus, or state-machine trace
• differential oracle/spec comparison when a reference implementation exists
• symbolic proof/trace when runtime repro is unsafe

If PoC/test/harness/fix implementation requires editing, hand off to quaere-execution only after explicit authorization.

8. Report and handoff

Use templates/audit-ledger.md for persistent audits and templates/finding.md for report-ready findings. For final output, include:

Scope / ROE:
Tier:
Property Ledger:
Attack Surface / Threat Paths:
Audited Proofs:
False-positive Gates:
Findings by decision:
Rejected Claims:
Uncovered Risks / Skipped Tools:
Verification / Safe Repro:
Tier companion decisions:
Tier promotion probe:
Handoff:

Keep these sections separate and in this order. Do not merge Audited Proofs and Findings by decision: proofs establish evidence and gaps, false-positive gates attempt to defeat the candidate, and only then may a candidate appear under Findings by decision as confirmed, potential, rejected, or inconclusive.

Tier companion decisions is a required block on every Standard or Deep report:

Tier companion decisions:
- External grounding: confirmed EG-... | no external facts required | unresolved
- Evidence-gated review: failed to reject C-... | no candidate disputed | unresolved
- Semantic review: mapped critical path ... | n/a — tier is not Deep
- Tier promotion: not required | promoted to Standard because 

Tier promotion probe is a required block whenever a Triage finding is being evaluated for promotion. Do not infer mass exposure from a single reachable object — record the check explicitly:

Tier promotion probe:
- Bulk / list path checked: yes —  | no | n/a
- Cross-tenant enumeration checked: yes —  | no | n/a
- Secrets / payment / admin / system impact checked: yes —  | no | n/a
- Promotion decision: stay Triage | promote Standard because 

Each finding should include: property, affected code, attacker path, proof gap, gate results, severity, confidence, CWE/CVSS/ASVS/WSTG tags when relevant, repro/evidence, remediation direction, and regression/security test suggestion.

Confirmation Rule

A finding cannot be confirmed unless the chosen tier's bar is met. Record the tier on the finding.

Tier does not override external-fact freshness. Even in Triage, if a finding relies on a current CVE, advisory, framework/cloud default, versioned spec, SDK/API behavior, or bounty rule, run quaere-grounding for that fact or classify the item as potential / inconclusive until the fact is grounded.

Triage requires 4 conditions:

1. Explicit security property and concrete proof gap naming the missing or failed guard, sink, or invariant (matching the Iron Law's source → boundary → guard → impact chain).
2. Code evidence that the gap is reachable from attacker-controlled input.
3. False-positive gates run, including at least one disconfirming probe that names what was actually consulted (file/symbol/caller/middleware/config/spec) or the command/test actually run, recorded in the finding's Disconfirming check performed: field; absent a named consulted artifact, cap the finding at potential.
4. Safe repro, trace, or strong reasoning showing non-trivial impact; or a safety reason repro is unavailable.

Standard adds 2 conditions (6 total):

1. quaere-grounding confirmed every external spec, SDK, advisory, CVE, cloud, framework, or bounty-rule fact used by the claim, or no external fact was required.
2. quaere-evidence failed to reject the candidate finding through defenses and disconfirming probes.

Deep adds 1 condition (7 total):

1. quaere-semantic mapped the relevant code intent, invariants, failure modes, and connections for the critical path.

Tier promotion rule. If a Triage finding has high blast radius — consensus break, funds movement, auth bypass, parser RCE, sandbox escape, key compromise, mass/bulk tenant data exposure, cross-tenant write, tenant impersonation, or multi-tenant secret leak — promote to Standard

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Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: haru0416-dev
• Source: haru0416-dev/quaere
• License: MIT
• Homepage: https://quaere.dev

Install and usage instructions live in the source repository linked above.