configure-coddy

configure-coddy is a skill for Claude Code, Codex from coddy-project/coddy-agent. It costs 120 tokens per session (8,601 once invoked), scanned A, original, MIT.

A configuration workflow for changing Coddy's settings, providers, models, logging, permissions, MCP servers, and skills.

In plain words
What is it for?
It is for changing Coddy behavior, installing or updating external tool servers and skills, and undoing configuration changes after the user approves the staged update.
Why use it?
It prevents configuration changes from being applied without review by inspecting the relevant setting, staging edits, showing the pending changes, and waiting for confirmation before saving.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

Good fit It is for changing Coddy behavior, installing or updating external tool servers and skills, and undoing configuration changes after the user approves the staged update.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coddy-project/coddy-agent/configure-coddy
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 coddy-project/coddy-agent --skill configure-coddy
Clone the repo
git clone --depth 1 https://github.com/coddy-project/coddy-agent

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 configure-coddy

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/coddy-project/coddy-agent/configure-coddy"><img src="https://agentmods.dev/badge/skills/coddy-project/coddy-agent/configure-coddy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,601 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: 6 findings, up to medium

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 →

  • medium Rogue Agent · line 39
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Data Exfiltration · line 49
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 49
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Excessive Agency · line 59
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 60
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium MCP Rug Pull · line 94
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00120 $0.08601
Opus 5.5 $0.00048 $0.03440
Sonnet 5.5 $0.00024 $0.01720
Haiku 4.5 $0.00012 $0.00860

Measured 2d ago against content hash 9f2d6dda07f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

configure-coddy 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 2d 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.

internal/skills/bundled/configure-coddy/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Configure Coddy

Use this skill when the user asks Coddy to configure itself. That includes explicit requests ("change the model", "set max turns to 40", "turn off auto discovery") and implied ones ("install a browser MCP", "add the pdf skill", "undo yesterday's config change"). Do not start configuring when the user has not asked for it.

Staged editing lifecycle

Configuration edits never apply immediately. The flow is always:

  1. Inspect with config_get on the narrowest relevant path. Do not reconstruct unrelated config.
  2. Stage edits with config_set. Nothing on disk changes; commands accumulate for this session.
  3. Review with config_changes and summarize the pending commands to the user in plain language.
  4. Ask the user to save. In any language, e.g. "I staged these changes: ... Save them?". Wait for a clear agreement ("да, сохраняй", "yes, save it", "go ahead").
  5. Commit with config_commit only after that agreement. The commit validates the batch, snapshots the previous file, writes atomically, and hot-reloads the running session - new skills, rules and tools become usable in the same turn, no restart needed. MCP servers are not part of config.yaml (see MCP servers below).
  6. If the user declines or changes their mind, drop the staged commands with config_revert (optionally scoped to one path).

config_commit also goes through Coddy's permission gate: it prompts even in accept_edits mode (a config commit can start MCP processes through mcp.project_trust and change the permission policy itself), and the dialog lists the staged commands with secrets redacted. Never weaken the permission policy merely to avoid that prompt, and never call config_commit before the user agreed to save.

Command syntax (uci-like)

config_set takes an array of commands shaped like OpenWrt's uci CLI:

Command Effect
set agent.max_turns=40 Set a scalar field
set logger.level=debug String fields take the literal text
add_list logger.levels={"component":"gateway.telegram","level":"debug"} Raise one subsystem without turning the whole process to debug
set providers[name=openrouter]={"type":"openai","api_base":"https://openrouter.ai/api/v1"} Set (or append) a named sequence entry; value is JSON
add_list skills.dirs=/home/dev/.agents/skills Append to a list
del_list skills.dirs=/home/dev/.agents/skills Remove a matching list entry
delete providers[name=openrouter] Delete a field or entry
delete models[model=valera/qwen3.8-27b].reasoning_levels Drop an optional key so its default applies again (here: reasoning levels go back to auto-detection)
set models[model=valera/qwen3.8-27b].allow_reasoning_off=true Expose Off only after verifying this provider/model deployment honours Coddy's disable-reasoning request

Read the full file on GitHub · 126 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. 2d ago Changed 9f2d6dda07f6
  2. 3d ago Changed 187ed00a53f0
  3. 5d ago Changed fd280a322b01
  4. 8d ago Changed · +1 lines 2d6ed1487fac
  5. 10d ago Changed · +1 lines 71bb24531d93
  6. 11d ago Changed 34577aed848a
  7. 13d ago Changed · +2 lines 5e10be8df1b3
  8. 15d ago Changed · +1 lines c1cd1c07c098
  9. 16d ago Changed 8ec80decf200
  10. 17d ago First seen · 121 lines · 120 tokens per session scan A 5df0708d4368

Subscribe to this mod's changes

configure-coddy is a skill published in the GitHub repository coddy-project/coddy-agent (183 stars, last pushed yesterday), licensed MIT. It adds 120 tokens to every session and 8,601 once invoked, about $0.0005 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.