Creator Β· glebis
Last updated Β· Sep 5, 2026
De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats sum
Creator Β· glebis
Last updated Β· Sep 5, 2026
De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats sum
Creator Β· glebis
Last updated Β· Sep 5, 2026
De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats sum
Creator Β· glebis
Last updated Β· Sep 5, 2026
De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats sum
Sandbox only
Install targets
Codex install prompt
Install the "anon" agent skill from https://github.com/glebis/claude-skills/tree/main/confide/skills/anon. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats summary, and a local secret <name>.map.json (0600, gitignored) that enables confide:rehydrate to restore real values after a cloud analysis. Use when the user says "anonymize this transcript", "redact PII", "de-identify session", "make safe to share", "strip personal data", "anonymize notes before sending to an LLM", or points at a transcript/folder that should be scrubbed. Local-only by default β raw text never leaves the machine; the map is the only artifact with originals and stays local; nothing printed is PII; human review is still required before sharing. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"glebis-anon","task":"Install anon","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add glebis/claude-skills --skill anon
Maintenance
fresh
3d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
370
73/100 Quality Β· 74/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review Β· Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
370 GitHub stars
Repo activity
370 stars, 55 forks
Maintenance
3d since push
License
MIT
Install
npx skills add glebis/claude-skills --skill anon
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add glebis/claude-skills --skill anonDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/glebis-anon/install
Agent should check
Copy prompt
Task: Use anon in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/glebis-anon/install
Install command: npx skills add glebis/claude-skills --skill anon
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/glebis-anon/install
LLM text format
/api/skills/glebis-anon/install?format=text
Find alternatives
/api/skills/search?q=anon&limit=3
Agent prompt
Use anon for this task. Review https://www.openagentskill.com/api/skills/glebis-anon/install, then install with: npx skills add glebis/claude-skills --skill anonRegistry metadata
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.
Manifest
/api/registry/manifest/glebis-anon
LLM text
/api/registry/manifest/glebis-anon?format=text
Install alias
/api/registry/install/glebis-anon
Recommend
/api/registry/recommend?task=Use%20anon%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO370 GitHub stars
Stars/forks activity
INFO370 stars, 55 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
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Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: anon description: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats summary, and a local secret <name>.map.json (0600, gitignored) that enables confide:rehydrate to restore real values after a cloud analysis. Use when the user says "anonymize this transcript", "redact PII", "de-identify session", "make safe to share", "strip personal data", "anonymize notes before sending to an LLM", or points at a transcript/folder that should be scrubbed. Local-only by default β raw text never leaves the machine; the map is the only artifact with originals and stays local; nothing printed is PII; human review is still required before sharing. ---
# confide:anon β local PII redaction
Redact personally identifying information from a transcript (or a whole folder) using the layered local stack in `shared/confide_core.py`: regex (emails / URLs / phones / IDs / dates) β Natasha (RU named entities) β local LLM (quasi-identifiers). Spans are interval-merged and replaced with placeholders. The result is a **GREEN** copy safe to review.
By default anon emits a **reversible map**: unique reserved-sentinel placeholders (the *same EXACT* value always becomes the *same* `[CONFIDE_<TYPE>_<NNNN>]`, e.g. `[CONFIDE_PERSON_0001]`, `[CONFIDE_EMAIL_0001]`, `[CONFIDE_DATE_0002]`) plus a sibling `<name>.map.json` (structured: `schema_version`, `doc_id`, `green_sha256`, `created`, `entries[]`) mapping each placeholder to its original. The `CONFIDE_` sentinel is reserved β a real transcript essentially never contains it, so there is no collision risk and rehydrate never touches ordinary prose like "Person 1". This is **exact-value** matching, not entity coreference: inflected forms (e.g. RU "ΠΠ°ΡΠΈΠ½Π°" vs "ΠΠ°ΡΠΈΠ½Ρ") are SEPARATE placeholders (no lemmatized merge). That map is the **secret** β the ONLY artifact with originals; it stays **local** and enables **confide:rehydrate** to put real values back into a cloud analysis of the GREEN text (round-trip: redact β analyze the green β rehydrate locally). Use `--no-map` for the legacy non-reversible `[TYPE]` style (no map written).
## Privacy invariants (do not violate) - **Local-only.** No cloud APIs. Raw text never leaves the machine. - **By design, original PII is written ONLY to the local, 0600, gitignored `<name>.map.json`, which never leaves the machine.** It is never printed, and never written to the GREEN copy (the GREEN holds placeholders only; the original file is read, never rewritten). The map is the SECRET β the one artifact with originals. A `.gitignore` covering `*.map.json`, `*.view.html`, and `*.restored.md` is written/updated in the output dir so these local-only artifacts can never be committed. If the output dir looks cloud-synced (iCloud / Dropbox / OneDrive / Google Drive), anon prints a WARNING that the secret map would be uploaded. - **Counts only.** stdout and the `*.stats.json` files carry counts (by type, by layer, redaction rate) β never PII values or redacted text dumps. - **Human review still required.** Redaction is a floor, not a guarantee. A human must read the GREEN copy before sharing. Pair with **confide:red** to check residual re-identification risk.
## Run it Run the script on a single file or a directory (processes every `.md`/`.txt`):
```bash python3 skills/anon/scripts/anon.py PATH ```
For each input it writes, next to the file (or into `--out DIR`): - `<name>.green.md` β the redacted text (the only thing safe to look at / share after review) - `<name>.stats.json` β counts only - `<name>.map.json` β the reversible map (secret; 0600; gitignored; local only). Skipped with `--no-map`. A `.gitignore` with `*.map.json` is also written/updated in the output dir.
Options: - `--layers regex,natasha,llm` β override which detection layers run (default from config). Use `--layers regex` for a fully offline, deterministic pass (no models/network). - `--out DIR` β write outputs to DIR instead of next to each input. - `--dry-run` β compute and print stats only; write no files. - `--no-map` β disable the reversible map; emit non-unique `[TYPE]` placeholders, no map.json.
Already-emitted `*.green.md` / `*.stats.json` / `*.map.json` are skipped, so a folder can be re-run safely.
## After running 1. Report the counts summary (types, layers, redaction rate) β never paste PII. 2. Tell the user the GREEN copy still needs human review before sharing. 3. Remind them the `<name>.map.json` is the secret (originals) β it stays local, never committed/shipped β and that **confide:rehydrate** uses it to restore real values into a cloud analysis of the GREEN text. 4. Offer **confide:red** to probe what an attacker could still infer/link.
## Setup Layer availability (Natasha, local LLM via Ollama) and defaults come from config β run **confide:setup** first if Natasha/Ollama aren't installed. `--layers regex` always works offline.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for anon, ready for a manual X post.
A practical pick for source-backed research: anon: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a reda... 370 stars https://www.openagentskill.com/skills/glebis-anon?ref=x
Listing + install path for anon: https://www.openagentskill.com/skills/glebis-anon?ref=x Install: npx skills add glebis/claude-skills --skill anon
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to glebis but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/glebis-anon?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/glebis-anon?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/glebis-anon/audit)
[](https://www.openagentskill.com/skills/glebis-anon?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)glebis
@glebis
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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27.4K StarsSandbox only
Install targets
Codex install prompt
Install the "anon" agent skill from https://github.com/glebis/claude-skills/tree/main/confide/skills/anon. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats summary, and a local secret <name>.map.json (0600, gitignored) that enables confide:rehydrate to restore real values after a cloud analysis. Use when the user says "anonymize this transcript", "redact PII", "de-identify session", "make safe to share", "strip personal data", "anonymize notes before sending to an LLM", or points at a transcript/folder that should be scrubbed. Local-only by default β raw text never leaves the machine; the map is the only artifact with originals and stays local; nothing printed is PII; human review is still required before sharing. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"glebis-anon","task":"Install anon","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add glebis/claude-skills --skill anon
Maintenance
fresh
3d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
370
73/100 Quality Β· 74/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review Β· Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
370 GitHub stars
Repo activity
370 stars, 55 forks
Maintenance
3d since push
License
MIT
Install
npx skills add glebis/claude-skills --skill anon
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add glebis/claude-skills --skill anonDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/glebis-anon/install
Agent should check
Copy prompt
Task: Use anon in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/glebis-anon/install
Install command: npx skills add glebis/claude-skills --skill anon
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/glebis-anon/install
LLM text format
/api/skills/glebis-anon/install?format=text
Find alternatives
/api/skills/search?q=anon&limit=3
Agent prompt
Use anon for this task. Review https://www.openagentskill.com/api/skills/glebis-anon/install, then install with: npx skills add glebis/claude-skills --skill anonRegistry metadata
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.
Manifest
/api/registry/manifest/glebis-anon
LLM text
/api/registry/manifest/glebis-anon?format=text
Install alias
/api/registry/install/glebis-anon
Recommend
/api/registry/recommend?task=Use%20anon%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO370 GitHub stars
Stars/forks activity
INFO370 stars, 55 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
π΅οΈββοΈ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: anon description: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats summary, and a local secret <name>.map.json (0600, gitignored) that enables confide:rehydrate to restore real values after a cloud analysis. Use when the user says "anonymize this transcript", "redact PII", "de-identify session", "make safe to share", "strip personal data", "anonymize notes before sending to an LLM", or points at a transcript/folder that should be scrubbed. Local-only by default β raw text never leaves the machine; the map is the only artifact with originals and stays local; nothing printed is PII; human review is still required before sharing. ---
# confide:anon β local PII redaction
Redact personally identifying information from a transcript (or a whole folder) using the layered local stack in `shared/confide_core.py`: regex (emails / URLs / phones / IDs / dates) β Natasha (RU named entities) β local LLM (quasi-identifiers). Spans are interval-merged and replaced with placeholders. The result is a **GREEN** copy safe to review.
By default anon emits a **reversible map**: unique reserved-sentinel placeholders (the *same EXACT* value always becomes the *same* `[CONFIDE_<TYPE>_<NNNN>]`, e.g. `[CONFIDE_PERSON_0001]`, `[CONFIDE_EMAIL_0001]`, `[CONFIDE_DATE_0002]`) plus a sibling `<name>.map.json` (structured: `schema_version`, `doc_id`, `green_sha256`, `created`, `entries[]`) mapping each placeholder to its original. The `CONFIDE_` sentinel is reserved β a real transcript essentially never contains it, so there is no collision risk and rehydrate never touches ordinary prose like "Person 1". This is **exact-value** matching, not entity coreference: inflected forms (e.g. RU "ΠΠ°ΡΠΈΠ½Π°" vs "ΠΠ°ΡΠΈΠ½Ρ") are SEPARATE placeholders (no lemmatized merge). That map is the **secret** β the ONLY artifact with originals; it stays **local** and enables **confide:rehydrate** to put real values back into a cloud analysis of the GREEN text (round-trip: redact β analyze the green β rehydrate locally). Use `--no-map` for the legacy non-reversible `[TYPE]` style (no map written).
## Privacy invariants (do not violate) - **Local-only.** No cloud APIs. Raw text never leaves the machine. - **By design, original PII is written ONLY to the local, 0600, gitignored `<name>.map.json`, which never leaves the machine.** It is never printed, and never written to the GREEN copy (the GREEN holds placeholders only; the original file is read, never rewritten). The map is the SECRET β the one artifact with originals. A `.gitignore` covering `*.map.json`, `*.view.html`, and `*.restored.md` is written/updated in the output dir so these local-only artifacts can never be committed. If the output dir looks cloud-synced (iCloud / Dropbox / OneDrive / Google Drive), anon prints a WARNING that the secret map would be uploaded. - **Counts only.** stdout and the `*.stats.json` files carry counts (by type, by layer, redaction rate) β never PII values or redacted text dumps. - **Human review still required.** Redaction is a floor, not a guarantee. A human must read the GREEN copy before sharing. Pair with **confide:red** to check residual re-identification risk.
## Run it Run the script on a single file or a directory (processes every `.md`/`.txt`):
```bash python3 skills/anon/scripts/anon.py PATH ```
For each input it writes, next to the file (or into `--out DIR`): - `<name>.green.md` β the redacted text (the only thing safe to look at / share after review) - `<name>.stats.json` β counts only - `<name>.map.json` β the reversible map (secret; 0600; gitignored; local only). Skipped with `--no-map`. A `.gitignore` with `*.map.json` is also written/updated in the output dir.
Options: - `--layers regex,natasha,llm` β override which detection layers run (default from config). Use `--layers regex` for a fully offline, deterministic pass (no models/network). - `--out DIR` β write outputs to DIR instead of next to each input. - `--dry-run` β compute and print stats only; write no files. - `--no-map` β disable the reversible map; emit non-unique `[TYPE]` placeholders, no map.json.
Already-emitted `*.green.md` / `*.stats.json` / `*.map.json` are skipped, so a folder can be re-run safely.
## After running 1. Report the counts summary (types, layers, redaction rate) β never paste PII. 2. Tell the user the GREEN copy still needs human review before sharing. 3. Remind them the `<name>.map.json` is the secret (originals) β it stays local, never committed/shipped β and that **confide:rehydrate** uses it to restore real values into a cloud analysis of the GREEN text. 4. Offer **confide:red** to probe what an attacker could still infer/link.
## Setup Layer availability (Natasha, local LLM via Ollama) and defaults come from config β run **confide:setup** first if Natasha/Ollama aren't installed. `--layers regex` always works offline.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for anon, ready for a manual X post.
A practical pick for source-backed research: anon: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a reda... 370 stars https://www.openagentskill.com/skills/glebis-anon?ref=x
Listing + install path for anon: https://www.openagentskill.com/skills/glebis-anon?ref=x Install: npx skills add glebis/claude-skills --skill anon
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to glebis but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/glebis-anon?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/glebis-anon?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/glebis-anon/audit)
[](https://www.openagentskill.com/skills/glebis-anon?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)glebis
@glebis
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
π΅οΈββοΈ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsSandbox only
Install targets
Codex install prompt
Install the "anon" agent skill from https://github.com/glebis/claude-skills/tree/main/confide/skills/anon. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats summary, and a local secret <name>.map.json (0600, gitignored) that enables confide:rehydrate to restore real values after a cloud analysis. Use when the user says "anonymize this transcript", "redact PII", "de-identify session", "make safe to share", "strip personal data", "anonymize notes before sending to an LLM", or points at a transcript/folder that should be scrubbed. Local-only by default β raw text never leaves the machine; the map is the only artifact with originals and stays local; nothing printed is PII; human review is still required before sharing. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"glebis-anon","task":"Install anon","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add glebis/claude-skills --skill anon
Maintenance
fresh
3d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
370
73/100 Quality Β· 74/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review Β· Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
370 GitHub stars
Repo activity
370 stars, 55 forks
Maintenance
3d since push
License
MIT
Install
npx skills add glebis/claude-skills --skill anon
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add glebis/claude-skills --skill anonDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/glebis-anon/install
Agent should check
Copy prompt
Task: Use anon in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/glebis-anon/install
Install command: npx skills add glebis/claude-skills --skill anon
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/glebis-anon/install
LLM text format
/api/skills/glebis-anon/install?format=text
Find alternatives
/api/skills/search?q=anon&limit=3
Agent prompt
Use anon for this task. Review https://www.openagentskill.com/api/skills/glebis-anon/install, then install with: npx skills add glebis/claude-skills --skill anonRegistry metadata
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.
Manifest
/api/registry/manifest/glebis-anon
LLM text
/api/registry/manifest/glebis-anon?format=text
Install alias
/api/registry/install/glebis-anon
Recommend
/api/registry/recommend?task=Use%20anon%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO370 GitHub stars
Stars/forks activity
INFO370 stars, 55 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
π΅οΈββοΈ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: anon description: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats summary, and a local secret <name>.map.json (0600, gitignored) that enables confide:rehydrate to restore real values after a cloud analysis. Use when the user says "anonymize this transcript", "redact PII", "de-identify session", "make safe to share", "strip personal data", "anonymize notes before sending to an LLM", or points at a transcript/folder that should be scrubbed. Local-only by default β raw text never leaves the machine; the map is the only artifact with originals and stays local; nothing printed is PII; human review is still required before sharing. ---
# confide:anon β local PII redaction
Redact personally identifying information from a transcript (or a whole folder) using the layered local stack in `shared/confide_core.py`: regex (emails / URLs / phones / IDs / dates) β Natasha (RU named entities) β local LLM (quasi-identifiers). Spans are interval-merged and replaced with placeholders. The result is a **GREEN** copy safe to review.
By default anon emits a **reversible map**: unique reserved-sentinel placeholders (the *same EXACT* value always becomes the *same* `[CONFIDE_<TYPE>_<NNNN>]`, e.g. `[CONFIDE_PERSON_0001]`, `[CONFIDE_EMAIL_0001]`, `[CONFIDE_DATE_0002]`) plus a sibling `<name>.map.json` (structured: `schema_version`, `doc_id`, `green_sha256`, `created`, `entries[]`) mapping each placeholder to its original. The `CONFIDE_` sentinel is reserved β a real transcript essentially never contains it, so there is no collision risk and rehydrate never touches ordinary prose like "Person 1". This is **exact-value** matching, not entity coreference: inflected forms (e.g. RU "ΠΠ°ΡΠΈΠ½Π°" vs "ΠΠ°ΡΠΈΠ½Ρ") are SEPARATE placeholders (no lemmatized merge). That map is the **secret** β the ONLY artifact with originals; it stays **local** and enables **confide:rehydrate** to put real values back into a cloud analysis of the GREEN text (round-trip: redact β analyze the green β rehydrate locally). Use `--no-map` for the legacy non-reversible `[TYPE]` style (no map written).
## Privacy invariants (do not violate) - **Local-only.** No cloud APIs. Raw text never leaves the machine. - **By design, original PII is written ONLY to the local, 0600, gitignored `<name>.map.json`, which never leaves the machine.** It is never printed, and never written to the GREEN copy (the GREEN holds placeholders only; the original file is read, never rewritten). The map is the SECRET β the one artifact with originals. A `.gitignore` covering `*.map.json`, `*.view.html`, and `*.restored.md` is written/updated in the output dir so these local-only artifacts can never be committed. If the output dir looks cloud-synced (iCloud / Dropbox / OneDrive / Google Drive), anon prints a WARNING that the secret map would be uploaded. - **Counts only.** stdout and the `*.stats.json` files carry counts (by type, by layer, redaction rate) β never PII values or redacted text dumps. - **Human review still required.** Redaction is a floor, not a guarantee. A human must read the GREEN copy before sharing. Pair with **confide:red** to check residual re-identification risk.
## Run it Run the script on a single file or a directory (processes every `.md`/`.txt`):
```bash python3 skills/anon/scripts/anon.py PATH ```
For each input it writes, next to the file (or into `--out DIR`): - `<name>.green.md` β the redacted text (the only thing safe to look at / share after review) - `<name>.stats.json` β counts only - `<name>.map.json` β the reversible map (secret; 0600; gitignored; local only). Skipped with `--no-map`. A `.gitignore` with `*.map.json` is also written/updated in the output dir.
Options: - `--layers regex,natasha,llm` β override which detection layers run (default from config). Use `--layers regex` for a fully offline, deterministic pass (no models/network). - `--out DIR` β write outputs to DIR instead of next to each input. - `--dry-run` β compute and print stats only; write no files. - `--no-map` β disable the reversible map; emit non-unique `[TYPE]` placeholders, no map.json.
Already-emitted `*.green.md` / `*.stats.json` / `*.map.json` are skipped, so a folder can be re-run safely.
## After running 1. Report the counts summary (types, layers, redaction rate) β never paste PII. 2. Tell the user the GREEN copy still needs human review before sharing. 3. Remind them the `<name>.map.json` is the secret (originals) β it stays local, never committed/shipped β and that **confide:rehydrate** uses it to restore real values into a cloud analysis of the GREEN text. 4. Offer **confide:red** to probe what an attacker could still infer/link.
## Setup Layer availability (Natasha, local LLM via Ollama) and defaults come from config β run **confide:setup** first if Natasha/Ollama aren't installed. `--layers regex` always works offline.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for anon, ready for a manual X post.
A practical pick for source-backed research: anon: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a reda... 370 stars https://www.openagentskill.com/skills/glebis-anon?ref=x
Listing + install path for anon: https://www.openagentskill.com/skills/glebis-anon?ref=x Install: npx skills add glebis/claude-skills --skill anon
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to glebis but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/glebis-anon?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/glebis-anon?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/glebis-anon/audit)
[](https://www.openagentskill.com/skills/glebis-anon?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)glebis
@glebis
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
π΅οΈββοΈ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsSandbox only
Install targets
Codex install prompt
Install the "anon" agent skill from https://github.com/glebis/claude-skills/tree/main/confide/skills/anon. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats summary, and a local secret <name>.map.json (0600, gitignored) that enables confide:rehydrate to restore real values after a cloud analysis. Use when the user says "anonymize this transcript", "redact PII", "de-identify session", "make safe to share", "strip personal data", "anonymize notes before sending to an LLM", or points at a transcript/folder that should be scrubbed. Local-only by default β raw text never leaves the machine; the map is the only artifact with originals and stays local; nothing printed is PII; human review is still required before sharing. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"glebis-anon","task":"Install anon","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add glebis/claude-skills --skill anon
Maintenance
fresh
3d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
370
73/100 Quality Β· 74/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review Β· Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
370 GitHub stars
Repo activity
370 stars, 55 forks
Maintenance
3d since push
License
MIT
Install
npx skills add glebis/claude-skills --skill anon
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add glebis/claude-skills --skill anonDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/glebis-anon/install
Agent should check
Copy prompt
Task: Use anon in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20anon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/glebis-anon/install
Install command: npx skills add glebis/claude-skills --skill anon
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/glebis-anon/install
LLM text format
/api/skills/glebis-anon/install?format=text
Find alternatives
/api/skills/search?q=anon&limit=3
Agent prompt
Use anon for this task. Review https://www.openagentskill.com/api/skills/glebis-anon/install, then install with: npx skills add glebis/claude-skills --skill anonRegistry metadata
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.
Manifest
/api/registry/manifest/glebis-anon
LLM text
/api/registry/manifest/glebis-anon?format=text
Install alias
/api/registry/install/glebis-anon
Recommend
/api/registry/recommend?task=Use%20anon%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO370 GitHub stars
Stars/forks activity
INFO370 stars, 55 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
π΅οΈββοΈ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: anon description: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a redacted GREEN copy with unique reserved-sentinel placeholders ([CONFIDE_PERSON_0001], [CONFIDE_EMAIL_0001], [CONFIDE_DATE_0002]...) plus a counts-only stats summary, and a local secret <name>.map.json (0600, gitignored) that enables confide:rehydrate to restore real values after a cloud analysis. Use when the user says "anonymize this transcript", "redact PII", "de-identify session", "make safe to share", "strip personal data", "anonymize notes before sending to an LLM", or points at a transcript/folder that should be scrubbed. Local-only by default β raw text never leaves the machine; the map is the only artifact with originals and stays local; nothing printed is PII; human review is still required before sharing. ---
# confide:anon β local PII redaction
Redact personally identifying information from a transcript (or a whole folder) using the layered local stack in `shared/confide_core.py`: regex (emails / URLs / phones / IDs / dates) β Natasha (RU named entities) β local LLM (quasi-identifiers). Spans are interval-merged and replaced with placeholders. The result is a **GREEN** copy safe to review.
By default anon emits a **reversible map**: unique reserved-sentinel placeholders (the *same EXACT* value always becomes the *same* `[CONFIDE_<TYPE>_<NNNN>]`, e.g. `[CONFIDE_PERSON_0001]`, `[CONFIDE_EMAIL_0001]`, `[CONFIDE_DATE_0002]`) plus a sibling `<name>.map.json` (structured: `schema_version`, `doc_id`, `green_sha256`, `created`, `entries[]`) mapping each placeholder to its original. The `CONFIDE_` sentinel is reserved β a real transcript essentially never contains it, so there is no collision risk and rehydrate never touches ordinary prose like "Person 1". This is **exact-value** matching, not entity coreference: inflected forms (e.g. RU "ΠΠ°ΡΠΈΠ½Π°" vs "ΠΠ°ΡΠΈΠ½Ρ") are SEPARATE placeholders (no lemmatized merge). That map is the **secret** β the ONLY artifact with originals; it stays **local** and enables **confide:rehydrate** to put real values back into a cloud analysis of the GREEN text (round-trip: redact β analyze the green β rehydrate locally). Use `--no-map` for the legacy non-reversible `[TYPE]` style (no map written).
## Privacy invariants (do not violate) - **Local-only.** No cloud APIs. Raw text never leaves the machine. - **By design, original PII is written ONLY to the local, 0600, gitignored `<name>.map.json`, which never leaves the machine.** It is never printed, and never written to the GREEN copy (the GREEN holds placeholders only; the original file is read, never rewritten). The map is the SECRET β the one artifact with originals. A `.gitignore` covering `*.map.json`, `*.view.html`, and `*.restored.md` is written/updated in the output dir so these local-only artifacts can never be committed. If the output dir looks cloud-synced (iCloud / Dropbox / OneDrive / Google Drive), anon prints a WARNING that the secret map would be uploaded. - **Counts only.** stdout and the `*.stats.json` files carry counts (by type, by layer, redaction rate) β never PII values or redacted text dumps. - **Human review still required.** Redaction is a floor, not a guarantee. A human must read the GREEN copy before sharing. Pair with **confide:red** to check residual re-identification risk.
## Run it Run the script on a single file or a directory (processes every `.md`/`.txt`):
```bash python3 skills/anon/scripts/anon.py PATH ```
For each input it writes, next to the file (or into `--out DIR`): - `<name>.green.md` β the redacted text (the only thing safe to look at / share after review) - `<name>.stats.json` β counts only - `<name>.map.json` β the reversible map (secret; 0600; gitignored; local only). Skipped with `--no-map`. A `.gitignore` with `*.map.json` is also written/updated in the output dir.
Options: - `--layers regex,natasha,llm` β override which detection layers run (default from config). Use `--layers regex` for a fully offline, deterministic pass (no models/network). - `--out DIR` β write outputs to DIR instead of next to each input. - `--dry-run` β compute and print stats only; write no files. - `--no-map` β disable the reversible map; emit non-unique `[TYPE]` placeholders, no map.json.
Already-emitted `*.green.md` / `*.stats.json` / `*.map.json` are skipped, so a folder can be re-run safely.
## After running 1. Report the counts summary (types, layers, redaction rate) β never paste PII. 2. Tell the user the GREEN copy still needs human review before sharing. 3. Remind them the `<name>.map.json` is the secret (originals) β it stays local, never committed/shipped β and that **confide:rehydrate** uses it to restore real values into a cloud analysis of the GREEN text. 4. Offer **confide:red** to probe what an attacker could still infer/link.
## Setup Layer availability (Natasha, local LLM via Ollama) and defaults come from config β run **confide:setup** first if Natasha/Ollama aren't installed. `--layers regex` always works offline.
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A practical pick for source-backed research: anon: De-identify a session transcript (file or folder) by redacting PII LOCALLY before any sharing or cloud use. Produces a reda... 370 stars https://www.openagentskill.com/skills/glebis-anon?ref=x
Listing + install path for anon: https://www.openagentskill.com/skills/glebis-anon?ref=x Install: npx skills add glebis/claude-skills --skill anon
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