forefy
Registry indexed
audit-scope
Draft a security-audit scope from GitHub repos or API access, with a protocol narrative and a sizing table. Use when scoping a new engagement.
Registry indexed
Draft a security-audit scope from GitHub repos or API access, with a protocol narrative and a sizing table. Use when scoping a new engagement.
Draft a security-audit scope from GitHub repos or API access, with a protocol narrative and a sizing table. Use when scoping a new engagement.
Source documentation, not instructions for this website. Review permissions before running any commands.
User provides one or more of:
No report-days input needed - report writing is hardcoded (see Constants).
Scope is measured in days. Do not attach monetary amounts to the output - days are the unit of measurement here.
For each GitHub repo URL provided:
/tmp/<repo-name>-audit via gh repo clonecloc <repo> --quiet --not-match-f="(?i)(spec|test)" --not-match-d="(test|spec|__tests__|__mocks__)" --include-lang=TypeScript,JavaScript,Kotlin,Java,Go,Python,Rust,Solidity,HCL (exclude test/spec files and dirs, case-insensitive; adjust --include-lang for the repo's stack)For API-only scope (no repo):
Read enough to understand:
Apply these automatically - do not ask user:
| Condition | Discount |
|---|---|
| Multiple repos audited back-to-back (streak) | -0.5d lift-off discount |
| Multiple repos share same domain/features (similarity) | -20-35% off affected component's days |
| Spec/rules doc in scope alongside backend that implements it | -1-2d off backend (domain fluency pre-built) |
Lift-off discount = negative row in table (streak saves ramp time). Similarity discount = bidirectional - applies whenever two components share significant overlapping attack surface, regardless of order. E.g. SDKs and backend sharing the same signing/API domain discount each other: SDKs get discounted because backend covers the server-side of the same flow; backend gets discounted because SDK work already mapped the signing trust boundary. Bake into the component day estimate directly (no separate row).
Base pace: ~300-400 NSLOC/day for deep manual security audit. Adjust for:
Do not pace all NSLOC uniformly. First split the repo into trust-boundary vs non-audited code, then only price the trust boundary at audit depth. Raw cloc NSLOC != auditable NSLOC. This is the #1 source of overquoting - especially on web frontends, where most lines are presentational or read-only.
*Stats mappers, APY/TVL math that only feeds charts, zustand stores, config/utils. Skim for leaked secrets, injection into outbound requests, and any value that feeds transaction sizing - then move on. Do NOT read line-by-line.Contract/SDK out of scope -> frontend crypto pace is faster, not slower. If the on-chain program or signing SDK lives in a separate repo (imported dependency, not vendored), the frontend only orchestrates pre-built instructions. Don't apply the ~200 NSLOC/day crypto pace to it - the frontend can only validate at the guard layer, so those passes are firm but quick. Flag the separate contract/SDK repo as its own potential line item (that's where fund-safety bugs actually live).
Before finalizing days, compare against typical engagement sizes below. These are calibration anchors - if a NSLOC-derived estimate lands well outside the range for its type, re-check the tiering in step 4 (usually display/read-only code priced at audit depth).
| Engagement type | Typical days |
|---|---|
| Red team engagement | ~10-25 |
| Security tool development services | ~15-20 |
| Cloud misconfiguration review | ~8-12 |
| Secure code review | ~10 |
| Low-level secure code review | ~10 |
| Web app penetration test | ~5-8 |
| Android app pentest | ~5 |
| SDK secure code review | ~3-5 |
| Miniapp with lean backend | ~3-4 |
| Incident response | ~2-5 |
| 2-day custom training (build time) | ~20 |
Web/frontend protocol audits track the "web app pentest" row (5-8d), not "secure code review" (~10d), unless the frontend vendors its own contracts/signing code.
Line 1 - Protocol mission + why audit needed:
<Protocol name> is a <what it does>. <Scope components> are/is <role in system> - <why a flaw here = business impact>, making it <risk framing for the engagement>.
Scope components must be woven into this line with clear business justification for auditing them.
Line 2 - User story:
A <user type> <does X> - <SDK/component> <does Y> and <delivers Z to downstream system>.
Line 3 - Attacker story + incentives:
Attacker targets <attack surface> to <attack goal> - enabling <business-critical impact e.g. fund theft, unauthorized access, data breach>.
Columns: Component | NSLOC | Focus Areas | Days
Row order:
Lift-off discount (streak) | - | - | -0.5Report writing | - | - | 1Focus areas per component:
Print narrative (3 lines), blank line, then table. Nothing else.
Protocol: Acme is a payments infrastructure API enabling businesses to move digital assets across chains. The SDKs (sdk-lang1, sdk-lang2) are the sole cryptographic trust boundary between a business's private keys and the Acme API - any signing flaw directly enables fund theft or unauthorized wallet creation, making them the highest-risk component in the integration stack.
User story: A fintech backend creates a wallet and signs a transaction step - the SDK constructs and stamps the activity payload locally, returning a signature the app posts to the Acme API.
Attacker story & incentives: Attacker targets the private key or signing flow to forge activity stamps - enabling unauthorized wallet creation or hijacking transactions to redirect funds to attacker-controlled addresses.
| Component | NSLOC | Focus Areas | Days |
|---|---|---|---|
| sdk-lang1 audit | 943 | P-256 stamp construction, key isolation, body serialization, input validation, logger redaction | 1.5 |
| sdk-lang2 audit (similarity discount) | 1,764 | Signing parity with sdk-lang1, JVM key handling, coroutine error propagation, serialization safety | 2 |
| Lift-off discount (streak) | - | - | -0.5 |
| Report writing | - | - | 1 |
| Total | 2,707 | 4 |
name: audit-scope description: Draft a security-audit scope from GitHub repos or API access, with a protocol narrative and a sizing table. Use when scoping a new engagement.
--- name: audit-scope description: Draft a security-audit scope from GitHub repos or API access, with a protocol narrative and a sizing table. Use when scoping a new engagement. --- # Audit Scope Skill ## Inputs User provides one or more of: - GitHub repo URL(s) - API documentation / access description (no repo) - Named scope components (e.g. "also include the webhook service") No report-days input needed - report writing is hardcoded (see Constants). ## Constants (hardcoded, never ask user) - **Report writing**: always 1 day Scope is measured in days. Do not attach monetary amounts to the output - days are the unit of measurement here. ## Step-by-step execution ### 1. Ingest repos For each GitHub repo URL provided: - Clone to `/tmp/<repo-name>-audit` via `gh repo clone` - Run `cloc <repo> --quiet --not-match-f="(?i)(spec|test)" --not-match-d="(test|spec|__tests__|__mocks__)" --include-lang=TypeScript,JavaScript,Kotlin,Java,Go,Python,Rust,Solidity,HCL` (exclude test/spec files and dirs, case-insensitive; adjust `--include-lang` for the repo's stack) - Record NSLOC per repo (source lines only - exclude test/spec files, Markdown, YAML, Gradle, shell) - Never estimate NSLOC manually - always run cloc For API-only scope (no repo): - NSLOC = N/A - Estimate days from endpoint count and complexity description ### 2. Explore repo structure Read enough to understand: - What the component does (SDK? API server? webhook handler?) - Core tech: cryptographic primitives, auth mechanisms, external dependencies - Language-specific security surface (JVM, Node, etc.) - Key files: entry point, signing/crypto logic, error handling, config/env ### 3. Identify discounts Apply these automatically - do not ask user: | Condition | Discount | |---|---| | Multiple repos audited back-to-back (streak) | -0.5d lift-off discount | | Multiple repos share same domain/features (similarity) | -20-35% off affected component's days | | Spec/rules doc in scope alongside backend that implements it | -1-2d off backend (domain fluency pre-built) | Lift-off discount = negative row in table (streak saves ramp time). Similarity discount = **bidirectional** - applies whenever two components share significant overlapping attack surface, regardless of order. E.g. SDKs and backend sharing the same signing/API domain discount each other: SDKs get discounted because backend covers the server-side of the same flow; backend gets discounted because SDK work already mapped the signing trust boundary. Bake into the component day estimate directly (no separate row). ### 4. Estimate days per component Base pace: ~300-400 NSLOC/day for deep manual security audit. Adjust for: - Cryptographic code: slower (~200 NSLOC/day) - Boilerplate-heavy languages (Kotlin, Java): filter ~30% noise - Framework-heavy TS backends (NestJS, etc.): DTOs, decorators, module definitions don't need line-by-line audit - pace ~400-500 NSLOC/day for those layers - Narrow attack surface (signer-only, no HTTP): faster - Wide attack surface (HTTP API, DB, auth): slower **Do not pace all NSLOC uniformly. First split the repo into trust-boundary vs non-audited code, then only price the trust boundary at audit depth.** Raw cloc NSLOC != auditable NSLOC. This is the #1 source of overquoting - especially on web frontends, where most lines are presentational or read-only. - **Excluded entirely (not in NSLOC, not priced):** presentational React/Vue UI, charts, visualizers, layout/page JSX, styles, assets. These have no trust boundary. On a frontend this is often 60-80% of cloc's count. - **Skim only (~0.5d flat, not per-NSLOC):** read-only data-fetch and display logic - react-query hooks that fetch stats, `*Stats` mappers, APY/TVL math that only feeds charts, zustand stores, config/utils. Skim for leaked secrets, injection into outbound requests, and any value that feeds transaction sizing - then move on. Do NOT read line-by-line. - **Full audit depth:** the actual trust boundary - transaction/instruction construction, signing & approval flow, output/slippage guards, auth, proxy/SSRF surface, input validation on server routes. This is usually a minority of the lines but where all the findings are. **Contract/SDK out of scope -> frontend crypto pace is faster, not slower.** If the on-chain program or signing SDK lives in a separate repo (imported dependency, not vendored), the frontend only *orchestrates* pre-built instructions. Don't apply the ~200 NSLOC/day crypto pace to it - the frontend can only validate at the guard layer, so those passes are firm but quick. Flag the separate contract/SDK repo as its own potential line item (that's where fund-safety bugs actually live). ### 4b. Sanity-check against common scope sizes Before finalizing days, compare against typical engagement sizes below. These are calibration anchors - if a NSLOC-derived estimate lands well outside the range for its type, re-check the tiering in step 4 (usually display/read-only code priced at audit depth). | Engagement type | Typical days | |---|---| | Red team engagement | ~10-25 | | Security tool development services | ~15-20 | | Cloud misconfiguration review | ~8-12 | | Secure code review | ~10 | | Low-level secure code review | ~10 | | Web app penetration test | ~5-8 | | Android app pentest | ~5 | | SDK secure code review | ~3-5 | | Miniapp with lean backend | ~3-4 | | Incident response | ~2-5 | | 2-day custom training (build time) | ~20 | Web/frontend protocol audits track the "web app pentest" row (5-8d), not "secure code review" (~10d), unless the frontend vendors its own contracts/signing code. ### 5. Build narrative (3 lines, before table) **Line 1 - Protocol mission + why audit needed:** `<Protocol name> is a <what it does>. <Scope components> are/is <role in system> - <why a flaw here = business impact>, making it <risk framing for the engagement>.` Scope components must be woven into this line with clear business justification for auditing them. **Line 2 - User story:** `A <user type> <does X> - <SDK/component> <does Y> and <delivers Z to downstream system>.` **Line 3 - Attacker story + incentives:** `Attacker targets <attack surface> to <attack goal> - enabling <business-critical impact e.g. fund theft, unauthorized access, data breach>.` ### 6. Build scope table Columns: `Component | NSLOC | Focus Areas | Days` Row order: 1. One row per auditable component (repo or API surface) 2. Lift-off discount row (if streak): `Lift-off discount (streak) | - | - | -0.5` 3. Similarity discount already baked into component days (no separate row) 4. Report writing row: `Report writing | - | - | 1` 5. **Total** row: sum all days Focus areas per component: - Name the specific crypto primitives, key-handling patterns, auth mechanisms, serialization paths, and language-specific risks - 4-6 items, comma-separated ### 7. Output Print narrative (3 lines), blank line, then table. Nothing else. ## Example output shape **Protocol:** Acme is a payments infrastructure API enabling businesses to move digital assets across chains. The SDKs (`sdk-lang1`, `sdk-lang2`) are the sole cryptographic trust boundary between a business's private keys and the Acme API - any signing flaw directly enables fund theft or unauthorized wallet creation, making them the highest-risk component in the integration stack. **User story:** A fintech backend creates a wallet and signs a transaction step - the SDK constructs and stamps the activity payload locally, returning a signature the app posts to the Acme API. **Attacker story & incentives:** Attacker targets the private key or signing flow to forge activity stamps - enabling unauthorized wallet creation or hijacking transactions to redirect funds to attacker-controlled addresses. --- ## Expected output table example: | Component | NSLOC | Focus Areas | Days | |---|---|---|---| | sdk-lang1 audit | 943 | P-256 stamp construction, key isolation, body serialization, input validation, logger redaction | 1.5 | | sdk-lang2 audit (similarity discount) | 1,764 | Signing parity with sdk-lang1, JVM key handling, coroutine error propagation, serialization safety | 2 | | Lift-off discount (streak) | - | - | -0.5 | | Report writing | - | - | 1 | | **Total** | **2,707** | | **4** | ## Edge cases - **Single repo, no streak**: no lift-off row, no similarity discount - **3+ repos**: apply lift-off once (-0.5d), apply similarity discount to each repo after the first - **API-only scope**: NSLOC = N/A, days from endpoint/complexity estimate, note estimation method - **Mixed repo + API**: repo gets cloc, API gets endpoint-based estimate; both in same table - **Web/frontend repo**: expect raw cloc to be dominated by presentational UI. Report NSLOC as the auditable surface (trust boundary + skim), not raw cloc, and say so. The trust boundary is: what the app builds & signs, output/slippage guards, wallet/session handling, and any server/proxy routes (SSRF, allowlists, rate-limit, secret exposure). A frontend audit is typically 4-6 days even at 20k+ raw NSLOC; if the estimate exceeds that, check whether display/read-only code got priced at audit depth.
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
69/100
Promising
Trust
65/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"web": "https://www.openagentskill.com/skills/forefy-audit-scope",
"api": "https://www.openagentskill.com/api/agent/skills/forefy-audit-scope",
"audit": "https://www.openagentskill.com/skills/forefy-audit-scope/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=forefy-audit-scope&task=Use%20audit-scope%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20audit-scope%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20audit-scope%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/forefy-audit-scope/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/forefy-audit-scope"
}
}Listing source
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[](https://www.openagentskill.com/skills/forefy-audit-scope/audit)
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Audit
78/100
Risky
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.