# Standards Compass > Use when implementing or changing sign-in, sign-up, password reset, sessions, roles, permissions or admin actions, payments or refunds, personal or sensitive data (including exports and new fields that hold it), file uploads, AI or LLM features, or accessibility-relevant UI; when a change weakens an existing control; and when asked which standards apply, for a security review, or for an audit. Na… - **Type:** Skill - **Install:** `agentstack add skill-soumyarauth-skills-hub-standards-compass` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [soumyaRauth](https://agentstack.voostack.com/s/soumyarauth) - **Installs:** 0 - **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [soumyaRauth](https://github.com/soumyaRauth) - **Source:** https://github.com/soumyaRauth/skills-hub/tree/main/skills/standards-compass - **Website:** https://soumyarauth.github.io/skills-hub/ ## Install ```sh agentstack add skill-soumyarauth-skills-hub-standards-compass ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Standards Compass Most software is built without anyone deciding which standards it is being built to. Not out of negligence — because the question never comes up in a ticket. Eight months later someone asks *"are we compliant?"* and the honest answer is that nobody knows what "compliant" would even mean for this product. The instinct at that point is a checklist. Checklists are the wrong tool: 500 requirements produce 500 shallow answers, most of them irrelevant, none of them trustworthy. The value is entirely in the two steps a checklist skips — **which of these matters here**, and **what does the code actually show**. ``` PROJECT → PROFILE → APPLICABILITY → SCOPE → EVIDENCE → ASSESS ↓ REPORT ← PRIORITIZE ← DEDUPLICATE ← GAP TYPE ← STATUS + CONFIDENCE ``` Two modes, same machinery: | | | | --- | --- | | **Guardrail** | Something is being built. Notice when the change has standards implications, build accordingly, verify afterwards. Cheap, quiet, continuous | | **Auditor** | Something is already built. Profile it, decide what applies, gather evidence, report the gaps in priority order with their limitations | ## Activation **Engage when** someone asks for an audit, a standards question, or a standards focus. In guardrail mode, also engage when a change touches identity, privilege, money, personal or sensitive data (exports included), file handling, a model, or accessibility-relevant interaction, or when it removes or weakens a control that held before. Decide from what the data *is*, not from keywords: a national identifier engages, a nickname field does not. **Stay quiet when** the change is a rename, copy, formatting, a refactor that moves no boundary, or a restructuring of data already held (splitting a name field adds no new personal data). That holds in regulated projects too: low-risk work in a high-risk project is still low-risk. **Depth** `CONSULT` in guardrail mode: the short block before the work and the short check after, per `references/continuous-mode.md`. `ACTIVE` for audits. Never `GATING`: it informs work, it does not block it. **Composes with** `proof-driven-dev` (named requirements become contract requirements) · `production-guard` (applicable controls feed its security category) · `dependency-guard` (the per-change supply-chain call, where this skill audits the control area) · `api-contract-guard` (API authorization and rate limits stay here; semantics go there). Accessibility implementation happens inside the work: there is no separate accessibility skill. ### Working with the other Skills Hub skills - **Loaded is not engaged.** This file stays in context once loaded. Decide again on every new request whether it applies. Relevance to an earlier request carries nothing forward. Project state persists, and engagement does not. - **Depth.** `PASSIVE` informs judgment and adds nothing to the reply · `CONSULT` adds a few lines that change what gets built · `ACTIVE` shapes the work · `GATING` decides whether something proceeds, and only when a person asked for that decision. - **Announce once.** When any skill engages at `CONSULT` or above, open the reply with one line such as `⚡ Impact Map · Standards Compass — rename reaches report SQL; export carries personal data`: names and a few words of reason. Never include reasoning. Add no line for `PASSIVE`, and none on a trivial request. The line is a promise: every skill it names is loaded before the reply ends. If one turns out not to apply, say so in one line: ` dropped: `. - **One interruption per request.** Skills that must speak before the work share one short block. Everything else arrives with the work. - **Hand off; don't absorb.** When another discipline is needed, write `HANDOFF → : []` and let that skill do its part. When the request asked for that skill's decision, load it in the same turn and pass it your findings; a HANDOFF line alone does not answer the request. Never state another skill's verdict yourself. If it is not installed, do the smallest version of its check inline and say so. - **Conflicts.** User intent, then project context, then engineering risk, then applicable standards, then verification depth. Each skill keeps its own verdict, and none overrules another's. - **Overrides.** "Use X" engages X. "Skip X" or "no review" drops X's ceremony. Three things are never dropped: invented evidence, a check reported as run when it did not run, and a live hazard (a reachable security hole, data loss, money at risk). A live hazard is said once, in one line. - **State.** Read what sibling skills recorded (`.project-compass/`, `.project-standards/`, `.proofbuild/`, `.agent-investigation/`) rather than re-deriving it. Write only your own. - **Lessons.** On engaging, read `~/.skills-hub/lessons/.md` if it exists. When a person corrects this skill's work (a miss, a false alarm, a wrong verdict), or the work exposes a gap in this file that another project would hit too, append one line to it: `- YYYY-MM-DD · — `. Never write project names, paths, identifiers, code or data there; facts about one repository are project state. Keep at most 20 lines, merging or replacing one to add another. A lesson sharpens this file's checks and never overrides its rules or a person's instruction. The file sits outside every project, so no read-only rule covers it. Say `Lesson recorded: ` once; if the file cannot be written, give the lesson in the reply instead. ## Non-negotiable rules 1. **Never claim legal compliance or certification.** Not "GDPR compliant", not "ISO 27001 compliant", not "PCI DSS passed", not "WCAG 2.2 AA conformant" — from repository inspection, none of these is a statement you are entitled to make. The defensible forms are *"the repository appears to satisfy…"*, *"evidence consistent with…"*, *"gaps relevant to…"*, and *"unable to verify"*. See `references/limitations.md`. 2. **Not found is not failed.** Absent evidence is `UNABLE TO VERIFY`, and the finding is about the missing evidence. "No backup configuration was found in the repository" is true; "there are no backups" is a claim about the world that a repository cannot support. 3. **Never fabricate evidence.** No invented file paths, line numbers, function names, tool output, CVEs, or requirement identifiers. If a line number cannot be established, cite the file. A fabricated citation is worse than no finding, because it is the one thing a reader will check. 4. **Standards, laws, frameworks and certifications are different objects.** A framework is not law. A law is not a checklist. A certification is held by an organization, not by a codebase. Never let the report blur them. 5. **Applicability is determined, not assumed.** Every standard in a report carries why it applies, from what evidence, and at what scope. A standard nobody can justify is noise, and noise is what gets the skill ignored. 6. **Legal and jurisdictional applicability is never concluded from code.** Personal data in a schema means privacy obligations are *worth raising*. It does not tell you whether GDPR applies. Name the condition, ask, and record `UNKNOWN` until someone answers. 7. **Scale to the project.** A prototype with eleven users gets the dangerous findings and nothing else. Recommending a governance programme to a weekend project is the same failure as telling a payments platform to "use HTTPS". See `references/assessment-model.md`. 8. **One weakness, one finding.** A missing authorization check is one engineering problem that several frameworks care about. Report it once and list the references. Three copies of the same finding is how a report becomes unreadable. See `references/control-model.md`. 9. **Confidence is separate from severity.** A serious problem you are unsure about is `HIGH` severity, `MEDIUM` confidence, and saying both is the whole point. 10. **Inherited controls are not missing controls.** A managed platform, an identity provider, or a payment processor may supply what the repository does not. Say "appears inherited; verify externally" rather than reporting a gap that isn't one. 11. **Report what is already working.** A findings-only report misrepresents the project and teaches the reader nothing about what to preserve. 12. **No compliance score by default.** No percentages, no grades, no "87% compliant". Posture is described in words. If a score is explicitly requested, it comes with scope, denominator, exclusions and uncertainty — see `references/reporting.md`. 13. **Never print a secret you find.** Redact to a recognizable stub (`sk_live_****`), cite the location, and treat exposure as the severity driver. 14. **"I don't know" is a first-class answer.** The report has a section for it, and using that section is a sign the assessment is working. 15. **Never send project content outside the repository.** Web access is for looking up what a standard says, never for describing, pasting, or summarizing the code under assessment. Search for the standard, not for the project. ## Vocabulary that must not blur | Kind | Example | What it can mean for a repository | | --- | --- | --- | | International standard | ISO/IEC 25010, ISO/IEC 27001 | Evidence toward some requirements; conformance and certification are organizational | | Technical / web standard | WCAG 2.2, EN 301 549 | Specific failures are findable; conformance is not establishable statically | | Security framework | OWASP ASVS, NIST CSF, SSDF | Guidance to verify against. No conformance state exists to claim | | Industry security standard | PCI DSS | Contractually mandatory *within a scope* the repository cannot define | | Regulation | GDPR, CCPA, EU AI Act, HIPAA | Applicability is a legal question about the organization and its users | | Organizational control framework | SOC 2 | An auditor's opinion over a period. Code shows a minority of the criteria | | Platform requirement | CIS Benchmarks, store rules | Often inherited; IaC is evidence of intent, not of deployed state | | Internal standard | The team's own rules | The highest practical authority, and invisible unless the project supplies it — `references/internal-standards.template.md` | ## Phase 1 — Profile the project Read the repository for what it *is* before deciding what applies to it. Application type, technology, interfaces, who uses it, what data it holds, where money and privilege enter, whether AI is involved, and how mature it is. Everything unknown stays `UNKNOWN`. An invented profile produces a confidently wrong applicability set, which is the worst output this skill can produce. Full method, detection signals and the sensitive-data rules: `references/project-profile.md`. Business and geographic context — industry, customers, jurisdictions, whether it is public or internal, whether it makes automated decisions — mostly cannot be read from code. Ask, once, only for the facts that would change the assessment, and proceed with the rest labelled. ## Phase 2 — Determine applicability For each candidate in `registry/`, decide one of: ``` DIRECTLY APPLICABLE the project's own properties put it in scope POTENTIALLY APPLICABLE conditional on a fact not visible here — name the fact USEFUL / RECOMMENDED not required, materially helpful for this product NOT CURRENTLY INDICATED nothing observed puts it in scope — say what would UNKNOWN cannot be determined without an answer ``` Each with a rationale, the evidence behind it, and the scope it would cover. **Negative applicability is a deliverable**: telling a team that PCI DSS is not indicated because payments are delegated to a hosted provider — with the caveat that scope is not yours to determine — saves more work than most findings. Method, worked applicability sets, and the traps (health-shaped data that isn't PHI, an AI feature that isn't a governance problem): `references/applicability-engine.md`. ## Phase 3 — Choose depth | | | | --- | --- | | `QUICK` | Profile, applicability, high-risk areas only, top findings | | `STANDARD` | The default audit — applicable standards, evidence, prioritized gaps | | `DEEP` | Control-by-control, with cross-framework mapping and traceability | | `FOCUSED` | One area: security, accessibility, privacy, AI, payments, quality, lifecycle | Depth is also set by maturity — `Prototype`, `MVP`, `Production`, `Business-critical`, `Regulated` — which changes what counts as a finding, not just how many there are. `references/assessment-model.md`. ## Phase 4 — Collect evidence Investigate in risk order, not directory order: authentication, authorization, sensitive data flows, external input, payments, uploads, admin operations, AI boundaries, APIs, deployment, secrets, logging, deletion, backups. Read targeted; expand where findings appear. Classify every piece: `DIRECT` · `INDIRECT` · `MISSING` · `CONTRADICTORY` · `EXTERNAL` · `UNKNOWN`. Cite file, and line when you can obtain it honestly. Where the project's own tools exist — linters, test runners, dependency audit, secret scanners — use them and label output `EXECUTED`; everything else is `ANALYZED`. A scanner result is a lead, not a finding, until it is validated. `references/evidence-model.md`. ## Phase 5 — Assess Each requirement or control area gets a status, and statuses do not collapse: ``` PASS · PARTIAL · FAIL · NOT APPLICABLE · UNABLE TO VERIFY · REQUIRES MANUAL REVIEW ``` Then classify what *kind* of gap it is, which determines who can fix it: | | | | --- | --- | | **Implementation gap** | The code does not satisfy the requirement | | **Evidence gap** | It may; nothing in the repository shows it | | **Process gap** | An organizational process cannot be established from a repository | | **Legal scope gap** | Applicability depends on facts outside the code | | **Manual verification gap** | A human has to test it | Confusing these is the most common way a standards report becomes untrustworthy: an evidence gap reported as a failure is a false accusation, and a process gap "fixed" in code is theatre. `references/assessment-model.md`. ## Phase 6 — Deduplicate through the control model Findings are made against normalized controls (`registry/controls.yaml`), not against standards. One weakness, one finding, with the standards that reference that control listed underneath it. That is also how the report stays honest when five frameworks all care about authorization. `references/control-model.md`. ## Phase 7 — Prioritize Order by risk — impact × likelihood × exposure, adjusted for uncertainty — not by the order the standards happen to be listed in. Security-critical exposure and sensitive-data exposure normally lead; accessibility and maintainability normally do not; **context overrides the default order** and a public-sector accessibility obligation can outrank an internal hardening gap. `references/assessment-model.md`. ## Phase 8 — Report Executive summary a non-technical reader can act on, then the technical appendix, then remediation order, then verification requirements, then limitations. Every finding carries evidence, severity, confidence, gap type, the standards it touches, and what would resolve it. Structure, phrasing, and the anti-patterns: `references/reporting.md`. ## Phase 9 — Remediate and verify `fix` mode is not "change everything". Summarize intended changes, separate the safe from the disruptive, implement, test, reassess, and report what is still open. Prefer the smallest safe improvement over a rewrite, and existing infrastructure over a new dependency. Never write code to "fix" a process gap. After a fix, restate the control's before and after status with the new evidence. `references/remediation.md`. ## Phase 10 — Persist and detect regressions State lives in `.project-standards/` … ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [soumyaRauth](https://github.com/soumyaRauth) - **Source:** [soumyaRauth/skills-hub](https://github.com/soumyaRauth/skills-hub) - **License:** MIT - **Homepage:** https://soumyarauth.github.io/skills-hub/ Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-soumyarauth-skills-hub-standards-compass - Seller: https://agentstack.voostack.com/s/soumyarauth - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.