martinholovsky/sota-skills · Archived

sota-code-security

>- State-of-the-art secure coding and security auditing rules (2026 baseline). Use whenever BUILDING or modifying code that crosses a trust boundary — endpoints, handlers, auth/login/signup, sessions, JWT/OAuth, file uploads, payments, multi-tenant features, crypto/secrets handling, parsers, CLI/exec wrappers, LLM agents or tool-calling — AND whenever AUDITING code for security (security review, pentest-prep, vulnerability hunt, threat model, hardening, OWASP, CWE, secrets leak, "is this code s…

First seen Jun 17, 2026

Installation

$ npx skills add martinholovsky/sota-skills --skill sota-code-security

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Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 18
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 20,470 B
  • docs SUMMARY.md 1,041 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 3 installs

SKILL.md

SOTA Code Security

Purpose

One skill, two modes. The rules/ files define the 2026 secure-coding baseline (OWASP Top 10 2025/API 2023/LLM + Agentic Top 10, CWE-mapped). In BUILD mode you write code that conforms to the rules by default. In AUDIT mode you hunt for violations of the same rules and report them as severity-rated findings. The rules are the single source of truth for both — anything a rules file forbids is a finding; anything it mandates is the implementation default.

Threat-model framing for both modes: every input is hostile until validated at a trust boundary; every output channel (response, error, log, model context) is adversary-readable; every privileged operation needs an explicit, code-enforced (never prompt-, comment-, or convention-enforced) authorization decision.

BUILD mode — secure-by-default while writing code

  1. Identify trust boundaries first. Before writing a handler/parser/job,

name what crosses in (user input, third-party content, model output, file bytes) and what authority the code wields. Pick the relevant rules files from the index below and follow them as you write — not as a review pass.

  1. Defaults, not options. Use the rules' default choices without being

asked: parameterized queries, argv-exec, argon2id, AEAD via libsodium-class libraries, __Host- cookies, allowlist DTOs (extra=forbid), deny-by-default route policy, per-principal rate limits, timeouts on every outbound call.

  1. Structural over disciplinary. Prefer designs where the insecure variant

cannot be written: ownership predicates inside queries, RLS for tenancy, typed Secret wrappers with masked repr, central crypto/authz modules, logger redaction filters. If safety depends on every future dev remembering a rule, redesign.

  1. Never hand-roll crypto, session machinery, password hashing, JWT/OAuth

protocol steps, HTML sanitizers, or auth token schemes. Compose vetted libraries per rules/02 and rules/04.

  1. When requirements force a deviation (e.g. shell-out unavoidable, CORS

must reflect origins), implement the rules file's documented mitigation stack and leave a SECURITY: comment stating the residual risk.

  1. Every control must be falsifiable. For each control you add, ask: *if

this were silently a no-op, would anything observable differ? If nothing would — no log, no metric, no failing test — the control is not finished. Assert on real loaded artifacts (not exists()), fail closed and* loudly, never truncate what you are about to inspect or parse, and make degradation a distinct, metered state. rules/10 is the full catalog.

  1. Finish with the file's audit checklist. Before declaring code complete,

run the relevant rules files' end-of-file checklists against your own diff; fix every "no".

AUDIT mode — hunting vulnerabilities against these rules

Process:

  1. Map the attack surface: entry points (routes, GraphQL resolvers, queue

consumers, cron jobs, WS/gRPC, webhooks, file ingestion, LLM tool loops), secrets locations, authz enforcement points, outbound fetchers.

  1. Sweep by rules file, prioritized: 03 (authz) and 01 (injection) find the

most criticals; then 02, 05, 08, 04, 07, 06, and 10 (silent no-ops) as a pass over whatever the others confirmed exists. For each file, grep-drive the hunt from its named sinks/APIs (e.g. shell=True, dangerouslySetInnerHTML, verify=False, pickle.loads, merge(, Object.assign(.*req.body, permit!, algorithms= absent near jwt.).

  1. Trace, don't pattern-match: confirm untrusted data actually reaches the

sink and no upstream boundary neutralizes it. Report the full source→sink path. A reachable sink with attacker data = finding; an unreachable one = note as hardening debt, Low.

  1. Check the negatives: missing controls are findings too — absent rate

limiting, absent CSRF tokens, absent tenant predicate, absent timeout, absent security headers. Use each rules file's audit checklist as the completeness gate; every "no" answer becomes a finding or an accepted risk.

  1. Check the inert: a control that is present but does nothing is invisible

to steps 2–4, because the code is not wrong — it is a no-op. Run rules/10 as its own pass over every control the sweep confirmed exists: swallowed exceptions, weak existence checks, truncation into an inspector or out of a generator, degradation that never logs, and tests that pass against a no-op'd body. Sweep with rules/11 to decide where to look, then close with rules/15 on the tools that produced your findings — an unvalidated instrument has produced none.

  1. Verify, then report. No speculative findings: state the concrete exploit

scenario; if exploitability is uncertain, say what's unverified and rate conservatively. Absence claims ("no instances of X") need a wider search and a second method than presence claims do.

Severity conventions (CVSS-style impact mapping)

Severity CVSS band Criteria Examples
Critical 9.0–10.0 Unauthenticated (or trivially authenticated) remote compromise of confidentiality/integrity at scale: RCE, SQLi dumping the DB, auth bypass, cross-tenant read/write, secrets in public repo/client bundle pickle.loads(request.body); JWT alg not pinned; reflected-Origin CORS with credentials; tenant_id from request param
High 7.0–8.9 Single-user-scoped compromise or privileged-precondition full compromise: IDOR on sensitive objects, stored XSS, SSRF reaching metadata, authenticated command injection, session fixation, missing object-level authz Ownership check missing on GET /documents/{id}; dangerouslySetInnerHTML on user bio; upload served executable from app origin
Medium 4.0–6.9 Meaningful weakening requiring chaining or limited impact: CSRF on non-critical state, ReDoS/resource exhaustion, missing rate limit on login, verbose errors leaking internals, weak-parameter argon2/bcrypt, missing security headers on sensitive pages, log injection No lockout on login; stack traces in prod 500s; SameSite unset with no CSRF token but Origin checked
Low 0.1–3.9 Hardening gaps and defense-in-depth misses with no direct exploit: missing __Host- prefix, Server header exposure, report-only CSP, unmasked PII in internal logs, missing Vary: Origin Cookie lacks prefix; HSTS missing includeSubDomains; EXIF not stripped

Adjust one band up/down for context: data sensitivity (health/financial ↑), internet-exposed vs internal-only (↓ one max — network position is not identity), existing compensating control (↓), trivially scriptable at scale (↑).

Finding format

[SEVERITY] <title>
File: <path>:<line>            (every claim anchored to file:line)
CWE: CWE-<id> (<name>)         (omit only if genuinely unmapped)
Source → Sink: <where attacker data enters> → <dangerous operation>
Exploit scenario: <concrete attacker story: who, sends what, gets what>
Fix: <specific change, referencing the rules/ section with the pattern>

Order the report Critical→Low; lead with a one-paragraph executive summary (counts by severity, worst finding, systemic themes). Group repeated instances of one weakness into a single finding listing all locations.

Rules index

File Topics Read this when...
[rules/01-input-injection.md](rules/01-input-injection.md) SQLi/NoSQLi, command & argument injection, path traversal/Zip Slip, SSRF + DNS rebinding, XXE, SSTI, deserialization, prototype pollution, ReDoS, canonicalization, allowlist validation ...any external data reaches a query, shell, path, URL fetcher, parser, template, regex, or object loader; writing input validation; auditing any handler
[rules/02-authentication.md](rules/02-authentication.md) argon2id parameters, credential-stuffing defense, session lifecycle/fixation, JWT (alg pinning, claims, storage, refresh rotation), OAuth2/OIDC + PKCE, MFA/TOTP, account recovery, passkeys/WebAuthn ...building or reviewing login, signup, sessions, tokens, SSO, password reset, MFA enrollment, or anything that proves identity
[rules/03-authorization.md](rules/03-authorization.md) Deny-by-default enforcement, IDOR/BOLA, function-level authz, RBAC/ABAC/ReBAC, multi-tenant isolation (RLS), confused deputy, authz bypass patterns ...any endpoint takes an object ID; multi-tenant features; role/permission systems; service-to-service trust; hunting access-control bugs (start here for audits)
[rules/04-cryptography.md](rules/04-cryptography.md) Algorithm table (AEAD, X25519, Ed25519), nonce discipline, CSPRNG use, key management/rotation/KMS, TLS config & cert verification, constant-time comparison, tamper-evident logs/audit ledgers (keyed chains, anchoring, integrity vs completeness), secrets in code/CI ...encrypting, signing, hashing, generating tokens, configuring TLS, storing secrets, building or auditing a "tamper-evident"/audit ledger, or you see any crypto primitive or verify=False in code
[rules/05-web-security.md](rules/05-web-security.md) Context-aware XSS encoding, Trusted Types, nonce-based CSP, CSRF stack, CORS misconfig, clickjacking, header baseline, cookie attributes/prefixes, file upload pipeline ...rendering user content, setting headers/cookies, configuring CORS, handling uploads, or auditing anything browser-facing
[rules/06-memory-resource-safety.md](rules/06-memory-resource-safety.md) Integer overflow/truncation, bounds & banned C APIs, unsafe/FFI policy, untrusted size fields, decompression bombs, timeouts/rate limits/load shedding, TOCTOU & race-driven bypass ...parsing binary formats, doing arithmetic on input-derived sizes/money, writing C/C++/unsafe Rust/FFI, or auditing DoS and concurrency surfaces
[rules/07-data-exposure.md](rules/07-data-exposure.md) Leak-free error handling, oracle-free responses, logging redaction & log injection, security event logging, mass assignment, response over-exposure, debug surfaces in prod ...designing errors/logging, binding request bodies to models, shaping API responses, or auditing what an attacker learns from outputs
[rules/08-llm-ai-security.md](rules/08-llm-ai-security.md) Prompt injection (direct/indirect), lethal trifecta, dual-LLM/taint gating, tool-call authorization & human-in-the-loop, model output as untrusted data, RAG ACLs, model supply chain ...building or auditing anything with an LLM: agents, tool calling, RAG, chat UIs rendering model output, MCP servers, prompt/completion logging
[rules/09-untrusted-data-ingestion.md](rules/09-untrusted-data-ingestion.md) Hostile data feeds/content; ingest as a trust boundary, provenance/taint tagging; sandboxed parsers (image/archive/PDF/Office/XML/CSV/JSON, fuzzy-hash); zip-slip/zip-bomb/pixel-bomb/decompression caps; size/rate/timeout DoS controls, quarantine/DLQ; parse-don't-validate, MIME sniffing, polyglots, AV; feed integrity & broker pattern ...ingesting attacker-authored external data — threat-intel/RSS feeds, scraped content, user uploads, third-party webhooks/APIs, RAG corpora, email, file imports — through parsers into storage/UI; auditing collectors, upload endpoints, or feed pipelines
[rules/10-silent-control-failure.md](rules/10-silent-control-failure.md) Controls that look enabled and do nothing: the falsification question, weak existence checks, optional-dependency degradation, empty/placeholder rulesets, swallowed enforcement exceptions, overloaded flags, early-return and truncation bypasses (into an inspector or out of a generator), silently-ignored config keys, doc/code default drift, **unearned claims in output — the numbers and the verification words** (verified/reachable/tainted, severity from a constant), shipped-artifact gaps, prompt/instruction standing in for an enforced control (attention leakage), a gate whose trigger never fires (a skipped job reports Success), a control parked in audit/warn/dry-run/report-only mode; the degraded-control helper; absence-claim evidence (the mutation probe itself moved to rules/12) ...you are about to trust that a control is working — any audit pass over controls that exist, any build where a safeguard's failure would be invisible, any "it's enabled" claim from a banner, config, or green test
[rules/11-dead-path-diagnostics.md](rules/11-dead-path-diagnostics.md) Finding the above at codebase scale: duration-not-result, printing every gate's denominator (0 checked, 0 failed, exit 0), cross-scale delta, telemetry silence, the provenance of an analysis's rows — a sink that tests and production both write is two populations, and the contaminated aggregate carries the larger n, proving a fix executed; scale-dependent silence (unbounded traversal, size-gated paths fixtures never cross, budgets that truncate coverage silently); stale-artifact no-ops (a cache/tag key narrower than the behaviour); format assumptions from one sample + lenient parsers returning plausible-but-wrong values; contract drift by interaction — the producer/consumer seam no schema declares; location-dependent silence — a filter matching the ambient environment (absolute path, hostname) so a collection is correct on one machine and empty on another; asserts stripped by -O/NDEBUG/missing -ea; ACTIVE/LATENT/REFUTED evidence labels; running every CI/hook/runbook script before reading any of them; the four-state watcher model (DONE / NOT-DONE / GONE / UNKNOWNGONE is terminal and knowable, and is the row people delete while fixing the other bug), metamorphic liveness oracles for a tool whose correct output you cannot state (the test oracle problem); closes by handing the tools that produced the findings to rules/15 ...sweeping a whole system for stages that report success while doing nothing, deciding where to apply rules/10, or validating that a pipeline's "0 findings" means it ran
[rules/12-verifying-the-verifier.md](rules/12-verifying-the-verifier.md) Proving a specific control works: the mutation probe (no-op the body, watch what fails) with its two traps — a path skipped for an unrelated reason, and a mutation that never landed; the allow arm, because a control that blocks everything reads as one that works; and where the probe lives — a --self-test mode of the tool over a harness beside it, so "every check can go red" is a property of the suite, not of whoever last edited it; the cross-discipline lineage (proof test, positive control, BITE, poka-yoke) ...whenever you add or review a control and need to know whether anything holds it in place
[rules/15-instruments-and-guards.md](rules/15-instruments-and-guards.md) Distrusting whatever did the proving. Your instrument is a control — scorers, gates, benchmarks and thresholds need a known-bad at the floor and a known-good at the ceiling in CI, a negative control, abort-don't-warn, sample-before-counting, and validation on inputs that can fail; the five instrument-specific failure modes; instruments that run over time (the four watcher states, incl. GONE); evidence the subject supplies about itself; disclosing an instrument changed after results were seen; and the guard that is an instance of what it guards — a predicate the defect satisfies ("auth=" in line passes on auth=None), a guard nested in another gate's success branch, a denominator counting only survivors, per-target kill verification at 100% ...after rules/10 and rules/11 have produced findings, before any is reported or any number quoted; whenever you write something whose output decides whether something else is OK
[rules/13-context-dependent-silence.md](rules/13-context-dependent-silence.md) The five classes rules/10 does not cover, split out of rules/11 §3 — each one correct under the condition you tested and silently wrong under the one you shipped into: scale-dependent silence (a size-gated path no fixture crosses), the stale-artifact no-op (a cache key narrower than the behaviour), a format assumption generalised from one sample, contract drift at a seam neither side declared — including the seam whose producer is a model, where the defaulted read .get(k, default) turns a key-name disagreement into a plausible constant and only a runtime unconsumed-key diff can close it — and location-dependent silence (correct here, empty there) ...a diagnostic from rules/11 §2 fired — a suspicious duration, a denominator that will not move, telemetry that went quiet — and you need the class behind it; also before trusting any result measured in one environment, at one scale, against one sample
[rules/14-control-not-in-force.md](rules/14-control-not-in-force.md) The other half of rules/10: not a control that runs and does nothing, but one that is not there — unearned claims in reporting output (the numbers and the verification words), shipped-artifact gaps, a natural-language instruction standing in for an enforced control, a control that never executes (a skipped job reports Success), and one parked in audit/warn/dry-run/report-only mode ...you have read the control's body and it looks right; these are found by asking what ships, what fires, and what the output is entitled to say — never by reading the control itself

Top-10 non-negotiables

Violations of these are findings regardless of context; in BUILD mode they are never acceptable shortcuts:

  1. Every SQL/NoSQL value parameterized — no string-built queries, raw-query

escape hatches audited, identifiers allowlist-mapped. (CWE-89)

  1. No shell string execution — argv arrays only, -- separators, no

shell=True/exec(string). (CWE-78)

  1. No native deserialization of untrusted data — no pickle /

ObjectInputStream / unserialize / Marshal / yaml.load; data-only formats + schema. (CWE-502)

  1. Object-level authz on every ID the client supplies — ownership/tenant

predicate inside the query, deny by default, 404 for unauthorized. (CWE-639/862)

  1. Passwords only as argon2id (or scrypt/bcrypt) hashes at current

parameters; login/reset rate-limited with uniform errors. (CWE-916/307)

  1. JWT verification pins algorithms and checks exp/iss/aud; OAuth is

Authorization Code + PKCE with exact redirect URIs; tokens never in localStorage or URLs. (CWE-347)

  1. No hardcoded or client-shipped secrets, no disabled TLS verification

CSPRNG for all tokens, constant-time comparison for all secret checks. (CWE-798/295/330/208)

  1. All user-influenced output encoded/sanitized for its sink — HTML context

encoding + allowlist sanitizer for rich text; applies equally to LLM output. (CWE-79)

  1. Outbound fetch of user-supplied URLs gets full SSRF defense — scheme

allowlist, post-resolution private-IP block, pinned connection, redirect re-validation. (CWE-918)

  1. LLM tool calls authorized in code against the human principal

session-bound scoping, schema-validated arguments, human confirmation for irreversible actions; prompts are never the security boundary. (CWE-863)