# Map Sec Human Capital Disclosure Requirements To Existing Hr Data > Agents map human capital disclosure topics to available HR data, distinguishing between information readily available in reportable form and information requiring remediation, flagging data-privacy restrictions on collecting sensitive employee diversity data, identifying the materiality of contingent worker safety metrics in regulated industries, and flagging collective bargaining agreement expiration as a human capital risk. - Skill: `finchipaiorg/map-sec-human-capital-disclosure-requirements-to-existing-hr` (Agent Skill) - Install (CLI): `npx skillmds@latest add finchipaiorg/map-sec-human-capital-disclosure-requirements-to-existing-hr` - Raw SKILL.md: https://api.skillmd.com/api/skills/finchipaiorg/map-sec-human-capital-disclosure-requirements-to-existing-hr/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: FinchipAIOrg (https://skillmd.com/u/finchipaiorg) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/finchipaiorg/map-sec-human-capital-disclosure-requirements-to-existing-hr --- # Skill: SEC Human Capital Disclosure Readiness Gap Analysis — Reg S-K Item 101(c) ## 1. Subject-matter triage - Start by identifying the company’s industry, workforce mix, union profile, regulated-operations profile, and any existing human-capital commitments in the source materials. - Treat the analysis as topic-specific and company-specific: determine which human-capital subjects are material to this business, rather than assuming a standard disclosure package. - If the source set contains more than one relevant workforce segment, geography, filing period, or operating unit, enumerate them first and assess each separately before drawing any overall conclusion. - If the materials point to a single workforce population or a single reporting period, state that explicitly and limit the analysis to that scope. - Use the engagement materials and HR inventory as the primary factual record; do not invent data fields, metrics, or processes that are not supported by the source set. ## 2. Failure modes the skill is correcting - Treating Item 101(c) as a checklist of mandatory metrics instead of a principles-based, materiality-driven disclosure regime. - Concluding that a topic is disclosable merely because some HR data exists, without asking whether the data is reportable, validated, internally consistent, and fit for filing. - Collapsing “collected somewhere” into “ready for disclosure,” which masks remediation work needed before the next annual filing. - Omitting privacy-law constraints when employee diversity information would require collection or processing of sensitive personal data. - Missing collective bargaining agreement expiration as a human-capital risk where the union profile makes labor disruption or renegotiation material. - Overlooking whether contingent-worker safety experience should be reflected when the company operates in a regulated or safety-sensitive environment. - Failing to recognize that an initial disclosure choice can create a going-forward expectation of comparable disclosure in later periods. - Writing a narrative that states conclusions without tying them to the governing disclosure framework, the source facts, and the downstream filing consequences. ## 3. Legal frameworks / domain conventions that apply - **Reg S-K Item 101(c) human capital disclosure:** The disclosure regime requires a company to describe the human capital measures or objectives that it focuses on in managing the business, to the extent material to an understanding of the business. - **Materiality under federal securities law:** The analysis turns on whether a reasonable investor would view the human-capital topic as important in light of the company’s facts, including industry, workforce composition, operational risk, and management focus. - **Principles-based disclosure convention:** The standard is not prescriptive. A company may need to disclose topics such as workforce composition, recruiting, retention, training, compensation, benefits, health and safety, culture, engagement, or labor relations if those topics are material in context. - **Data-readiness distinction:** Disclosure analysis should distinguish raw data existence from reportable readiness. Data that is fragmented, inconsistent, unvalidated, or maintained under differing definitions is not disclosure-ready even if it exists. - **Privacy-law constraints on sensitive employee data:** Where employee diversity or similar sensitive attributes are implicated, assess the applicable privacy-law basis for collection and processing before recommending that data be gathered for disclosure purposes. - **Collective bargaining risk conventions:** For a meaningful unionized workforce, an expiring labor agreement can be a material operational and human-capital risk if renegotiation, work stoppage, or wage pressure could affect the business. - **Contingent-worker safety convention:** In regulated or hazardous operations, contractor and temporary-worker safety may need to be considered if employee-only statistics would otherwise give a misleading picture of the company’s overall safety performance. - **Disclosure consistency convention:** Once a company chooses a specific human-capital metric or narrative theme, future-period comparability and consistency become relevant to the disclosure strategy. ## 4. Analytical scaffolds - **Topic-by-topic materiality test:** For each candidate disclosure topic, ask whether the facts make it material to the company’s business. Anchor the answer in industry, operating profile, workforce structure, and management emphasis. - **Data status classification:** For each material topic, classify the current information as disclosure-ready, needs remediation, or not currently collected. Use those labels consistently. - **Readiness remediation test:** If the data exists but is not disclosure-ready, identify whether the gap is aggregation, validation, normalization, definitional alignment, system integration, or missing process ownership. - **Privacy gating test:** If the disclosure would require collecting sensitive employee diversity data, flag the need for a lawful-basis and compliance review before any collection begins. - **Union risk test:** Identify any collective bargaining arrangements in the source set, note the expiration horizon, and assess whether the timing creates a material labor-risk disclosure issue. - **Contingent-workforce safety test:** If the company’s operations use contractors, temporary workers, or other contingent labor in a safety-sensitive setting, assess whether their incident data should be included to avoid a misleading disclosure. - **Disclosure-form recommendation:** For each material topic, recommend whether the company should use a qualitative narrative, a specific metric, or both, based on the source data and the company’s disclosure posture. - **Forward-compatibility check:** Note any topic-specific disclosure choice that is likely to require continued future-period reporting and comparable methodology. ## 5. Vertical / structural / temporal relationships - **Annual report coordination:** If the source materials reference proxy-statement or other governance disclosures, check whether the annual-report human-capital narrative should align with them to avoid inconsistency. - **Multi-entity or multi-location hierarchy:** Where the inventory spans business units, geographies, or employee categories, preserve the vertical relationship between enterprise-wide disclosures and segment-level operational facts. - **Temporal sequencing:** Separate historical data availability from future remediation work. Identify what can support the current filing, what can be repaired before the next filing cycle, and what requires a longer implementation timeline. - **Expiration and filing timing:** Give special attention to agreements, policies, and data systems whose expiration, renewal, or build-out timing may intersect with the next reporting deadline. - **Trend and consistency issues:** Where a topic has been disclosed before, assess whether the current year’s data and framing remain comparable enough to avoid misleading trend breaks. ## 6. Output structure conventions - Draft the memo as a gap-analysis memorandum organized by human-capital topic, using conventional legal-advisory headings rather than a rubric-like checklist. - Include an opening summary that states the overall readiness posture and the most material disclosure gaps. - For each topic, include: - a short materiality assessment, - the current data status, - the recommended disclosure approach, - the remediation or timing needed to reach filing readiness, - and the legal or regulatory basis for the recommendation. - Use a consistent severity label for each topic so the reader can quickly distinguish higher-risk gaps from lower-risk clean-up items. - Include a concise exhibit or summary matrix with one row per topic, reflecting materiality, data status, severity, and recommended next step. - Include a separate privacy section if sensitive employee-data collection is implicated. - Include a separate labor-relations section if union coverage or agreement expiration appears in the source materials. - End with a practical Recommended Actions section that assigns the next step to the relevant business or compliance owner and ties it to the next filing milestone or other concrete timing anchor. - Keep the writing evidence-based and avoid conclusory legal statements that do not identify the governing Item 101(c), materiality, privacy, or labor-relations principle being applied.