disclosure

disclosure is a skill for Claude Code, Codex from Encod3d-Sec/TORCH. It costs 76 tokens per session (663 once invoked), scanned A, original, MIT.

A responsible-disclosure workflow for turning a confirmed software vulnerability into a private vendor report and, when appropriate, a CVE, the standard identifier for a publicly recorded security flaw.

In plain words
What is it for?
It helps prepare a reproducible report, find the vendor’s security contact, report privately, request a CVE through an appropriate authority, and publish an advisory.
Why use it?
It sets evidence, authorization, novelty, contact, and timeline requirements before sensitive vulnerability information is shared.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps prepare a reproducible report, find the vendor’s security contact, report privately, request a CVE through an appropriate authority, and publish an advisory.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/encod3d-sec/torch/disclosure
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Encod3d-Sec/TORCH --skill disclosure
Clone the repo
git clone --depth 1 https://github.com/Encod3d-Sec/TORCH

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for disclosure

README.md
[![agentmods](https://agentmods.dev/badge/skills/encod3d-sec/torch/disclosure/github.svg)](https://agentmods.dev/skills/encod3d-sec/torch/disclosure)
Your own site
<a href="https://agentmods.dev/skills/encod3d-sec/torch/disclosure"><img src="https://agentmods.dev/badge/skills/encod3d-sec/torch/disclosure/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for disclosure

Your own site · 80×15
<a href="https://agentmods.dev/skills/encod3d-sec/torch/disclosure"><img src="https://agentmods.dev/badge/skills/encod3d-sec/torch/disclosure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 663 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00076 $0.00663
Opus 5.5 $0.00030 $0.00265
Sonnet 5.5 $0.00015 $0.00133
Haiku 4.5 $0.00008 $0.00066

Measured 1mo ago against content hash 928011b37b73, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

disclosure scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/disclosure/SKILL.md · 30 lines

How it starts

The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Disclosure: Finding -> CVE

Turn a proven, novel vulnerability into a coordinated disclosure and a published CVE. Pairs with the research skill (a finding in findings.md) or an engagement FIND. Read [[responsible-disclosure]] first.

Gate (READ FIRST)

  • The finding must be proven + reproducible (minimal PoC, affected versions, impact) and novelty-checked (not an existing CVE). If not, go back to the research skill.
  • Confirm you are authorised / in safe-harbor for the target. No authorization -> do not proceed (CFAA / Computer Misuse Act). Research on public software you can lawfully analyze is fine; testing live third-party systems needs permission.

Procedure

  1. Package the report from the finding: title, affected + fixed/tested versions, CWE class, CVSS vector + score, clear repro steps, minimal PoC, impact, suggested remediation, your contact. Redact any real data.
  2. Find the contact (in order): /.well-known/security.txt, SECURITY.md, security@<vendor>, vendor PSIRT, a bug-bounty platform if they run one, GitHub private vulnerability reporting for OSS, else CERT/CC.
  3. Report privately over that channel; PGP-encrypt if a key is published. Professional, specific, non-extortive. Offer to validate the fix.
  4. Coordinate a timeline - propose ~90 days; track it; escalate to CERT/CC if the vendor goes dark past the deadline.
  5. Request the CVE: vendor CNA assigns it; for OSS open a GitHub Security Advisory (GitHub issues the CVE); otherwise MITRE CVE request form (CNA of last resort). Supply product, versions, CWE, impact, reference.
  6. Publish the advisory after fix/deadline: CVE ID, affected/fixed versions, CWE, CVSS, description, PoC, impact, remediation, timeline, credit. Mirror to the researcher's blog/GitHub for the portfolio.

Output

  • A ready-to-send disclosure report (draft) and a public advisory (draft) saved under the project: raw/research/<project>/advisory.md (and the contact + timeline tracked in findings.md).
  • Update the finding status: candidate -> reported -> CVE-<id> -> published.

Read the full file on GitHub · 30 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 30 lines · 76 tokens per session scan A 928011b37b73

Subscribe to this mod's changes

disclosure is a skill published in the GitHub repository Encod3d-Sec/TORCH (336 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 663 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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