openhandoff-privacy

openhandoff-privacy is a skill for Codex from StoneReaper/openhandoff. It costs 28 tokens per session (312 once invoked), scanned A, original, MIT.

A privacy-checking procedure for OpenHandoff files, transcripts, event logs, and release materials. OpenHandoff is a way to save and pass coding-agent context between sessions or machines.

In plain words
What is it for?
Use it to inspect handoffs and generated artifacts, redact sensitive data, check the final changes, and recommend the smallest safe fix.
Why use it?
It helps find credentials, personal information, private conversations, and local details before they are shared or committed to a repository.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to inspect handoffs and generated artifacts, redact sensitive data, check the final changes, and recommend the smallest safe fix.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stonereaper/openhandoff/openhandoff-privacy
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 StoneReaper/openhandoff --skill openhandoff-privacy
Clone the repo
git clone --depth 1 https://github.com/StoneReaper/openhandoff

Made for: 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 openhandoff-privacy

README.md
[![agentmods](https://agentmods.dev/badge/skills/stonereaper/openhandoff/openhandoff-privacy/github.svg)](https://agentmods.dev/skills/stonereaper/openhandoff/openhandoff-privacy)
Your own site
<a href="https://agentmods.dev/skills/stonereaper/openhandoff/openhandoff-privacy"><img src="https://agentmods.dev/badge/skills/stonereaper/openhandoff/openhandoff-privacy/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 openhandoff-privacy

Your own site · 80×15
<a href="https://agentmods.dev/skills/stonereaper/openhandoff/openhandoff-privacy"><img src="https://agentmods.dev/badge/skills/stonereaper/openhandoff/openhandoff-privacy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 312 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.
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 $0.00028 $0.00312
Opus 5 $0.00014 $0.00156
Sonnet 5 $0.00006 $0.00062
Haiku 4.5 $0.00003 $0.00031

Measured 8d ago against content hash 70c816789b04, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

openhandoff-privacy 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 8d 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/openhandoff-privacy/SKILL.md · 25 lines

What it actually says

OpenHandoff Privacy

Use this skill whenever a handoff, transcript, .context directory, issue, pull request, or release artifact may leave the user's machine.

Audit order

  1. Identify the exact files in scope. Do not scan the user's entire home directory or Obsidian vault unless explicitly requested.
  2. Inspect text and metadata for credential-shaped values: API keys, bearer tokens, passwords, private keys, cookies, webhook URLs, access codes, and personal contact data.
  3. Run OpenHandoff's redaction path for generated data. Redaction reduces risk but is not proof of safety; manually review the final diff.
  4. Check for private conversation content, internal paths, usernames, emails, customer data, and hidden files that do not belong in a public repository.
  5. Report findings by severity and recommend the smallest safe remediation. Do not silently delete or overwrite source material.

Safe handling

  • Never echo a suspected secret in a response, log, commit message, or issue.
  • Never upload private transcripts or Obsidian notes as evidence of project activity.
  • Keep .context/ and event logs ignored by Git unless a sanitized fixture is intentional.
  • If a credential was exposed, recommend revocation/rotation before continuing.
  • If a file cannot be made safe without losing meaning, stop and ask the user which portions may be shared.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 25 lines · 28 tokens per session scan A 70c816789b04

Subscribe to this mod's changes

openhandoff-privacy is a skill published in the GitHub repository StoneReaper/openhandoff (0 stars, last pushed 16d ago), licensed MIT. It adds 28 tokens to every session and 312 once invoked, about $0.0001 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories

blast-radius

Trace ServiceNow configuration dependencies — what artifacts touch a given field, what calls a script include, table/app-level config inventory. Use before deletes, renames, or refactors.

serac-labs/serac · 39 tokens

change-management

Create and transition ServiceNow change requests (normal/standard/emergency), change tasks, affected CIs, approval routing, CAB scheduling, and conflict detection across maintenance windows.

serac-labs/serac · 37 tokens

incident-management

Manage ServiceNow incidents — creation with impact/urgency priority calc, auto-assignment by category, reassignment tracking, major incident declaration with bridge calls, time-based escalation, MTTR metrics.

serac-labs/serac · 42 tokens

mobile-development

Configure ServiceNow Mobile (Now Mobile/Agent) — syssgmobileapp screens, card builders, push notifications, offline sync rules, mobile actions for barcode/GPS, and offline-queue change processing.

serac-labs/serac · 45 tokens

notification-events

Use ServiceNow events (sysevent) — gs.eventQueue dispatch, syseventregister definitions, syseventscriptaction handlers, delayed events with processon, and reminder/state-change patterns.

serac-labs/serac · 43 tokens

predictive-intelligence

Use ServiceNow Predictive Intelligence — snml.ClassificationPredictor for auto-categorization, SimilarityPredictor for related records, ClusteringPredictor, model training/retraining, and prediction-feedback accuracy tracking.

serac-labs/serac · 48 tokens