aweskill-doctor

aweskill-doctor is a skill for Codex from Webioinfo01/aweskill. It costs 94 tokens per session (1,187 once invoked), scanned A, original, MPL-2.0.

A diagnostic and repair workflow for aweskill state, including missing or broken skill assignments, duplicates, stale entries, sync problems, and malformed skill metadata.

In plain words
What is it for?
Use it to inspect projections, run dry-run cleanup or synchronization checks, repair broken assignments with --apply, and investigate suspicious store entries or installation results.
Why use it?
It helps identify why a skill is unavailable or inconsistent before making repairs, and verifies the result after changes.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to inspect projections, run dry-run cleanup or synchronization checks, repair broken assignments with --apply, and investigate suspicious store entries or installation results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/webioinfo01/aweskill/aweskill-doctor
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 Webioinfo01/aweskill --skill aweskill-doctor
Clone the repo
git clone --depth 1 https://github.com/Webioinfo01/aweskill

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 aweskill-doctor

README.md
[![agentmods](https://agentmods.dev/badge/skills/webioinfo01/aweskill/aweskill-doctor.svg)](https://agentmods.dev/skills/webioinfo01/aweskill/aweskill-doctor)
Your own site
<a href="https://agentmods.dev/skills/webioinfo01/aweskill/aweskill-doctor"><img src="https://agentmods.dev/badge/skills/webioinfo01/aweskill/aweskill-doctor.svg" alt="Measured on agentmods" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,187 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Rogue Agent · line 110
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
  • high Rogue Agent · line 110
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 $0.00094 $0.01187
Opus 5 $0.00047 $0.00593
Sonnet 5 $0.00019 $0.00237
Haiku 4.5 $0.00009 $0.00119

Measured 8d ago against content hash 76865774babe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

aweskill-doctor 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.

resources/skills/aweskill-doctor/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Aweskill Doctor

Diagnose first. Mutate only with --apply. Verify after every mutation.

Symptom Workflows

Agent Cannot See a Skill

The user says a skill should be available but the agent doesn't show it.

# 1. Check what's projected
aweskill agent list --global --agent <id> --verbose

# 2. If the skill is missing from projections, sync it
aweskill doctor sync --global --agent <id>

# 3. Apply if dry-run reports repairable entries
aweskill doctor sync --global --agent <id> --apply

# 4. Verify
aweskill agent list --global --agent <id> --verbose

If the skill doesn't exist in the central store either, escalate to $aweskill for find / install.

Projection is Broken

agent list shows broken — a managed symlink or copy target no longer resolves.

# 1. Inspect
aweskill agent list --global --agent <id> --verbose

# 2. Dry-run sync to see what would be repaired
aweskill doctor sync --global --agent <id>

# 3. Apply repair
aweskill doctor sync --global --agent <id> --apply

# 4. Verify
aweskill agent list --global --agent <id> --verbose

Store Has Suspicious Files

store list or doctor clean reports suspicious entries — missing SKILL.md, reserved names, or junk files.

# 1. Inspect
aweskill doctor clean --verbose
aweskill doctor clean --skills-only --verbose    # scan only skills/
aweskill doctor clean --bundles-only --verbose   # scan only bundles/

# 2. Apply cleanup
aweskill doctor clean --apply

# 3. Verify
aweskill store list --verbose

Use --remove-suspicious on doctor sync only when suspicious agent entries should actually be removed instead of reported.

Duplicate Skills Exist

Multiple central-store skills collapse to one duplicate family, or multiple agent-side entries map to one canonical skill.

# 1. Inspect
aweskill doctor dedup

# 2. Apply dedup (keeps canonical, moves duplicates to dup_skills/)
aweskill doctor dedup --apply

# 3. Backup before dedup (copies to backup/dedup first)
aweskill doctor dedup --apply --backup

# 4. If permanent removal is explicitly required
aweskill doctor dedup --apply --delete

# 5. For agent-side duplicates
aweskill doctor sync --global --agent <id> --apply

Read the full file on GitHub · 135 lines

Files

What ships with it

3 files 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 · 135 lines · 94 tokens per session scan A 76865774babe

Subscribe to this mod's changes

aweskill-doctor is a skill published in the GitHub repository Webioinfo01/aweskill (35 stars, last pushed 2d ago), licensed MPL-2.0. It adds 94 tokens to every session and 1,187 once invoked, about $0.0005 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 2026-08-30.