agentmods.dev

ase-code-edit

A one-shot workflow for changing source code from a written request or an analyzer issue ID.

In plain words
What is it for?
Use it to apply a focused code change in place, optionally verify it, and isolate the work in a Git worktree.
Why use it?
It brings code editing, refactoring, problem resolution, optional review, verification, and iteration into one requested operation.

Skill for Claude CodeCodex

47 4d ago A scan 60 tokens original Apache-2.0
View the source file rse/ase
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.

agentmods
npx agentmods add skills/rse/ase/ase-code-edit
Any agent
npx skills add rse/ase --skill ase-code-edit
Clone the repo
git clone --depth 1 https://github.com/rse/ase

Made for: Claude Code, Codex.

Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,392 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00060 $0.05392
Opus 5 $0.00030 $0.02696
Sonnet 5 $0.00012 $0.01078
Haiku 4.5 $0.00006 $0.00539

Measured yesterday against content hash 9a62c5a7553c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ase-code-edit 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 yesterday.

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.

plugin/skills/ase-code-edit/SKILL.md · 495 lines

How it starts

The opening of the file, as written. The whole thing — 495 lines — stays where its author put it; the contents beside it link to each section on GitHub.

@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-dialog.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md

$ARGUMENTS

@${CLAUDE_SKILL_DIR}/../../meta/ase-tenets.md @${CLAUDE_SKILL_DIR}/../../meta/ase-common-grill.md

Procedure

This skill is plan-less: it never composes or persists a task plan and MUST NOT call ase_task_save(...). Instead, it applies the requested edit in place, so the implementing state requires Edit and Write to modify the affected artifacts. Every modification MUST stay restricted to the artifacts the edit actually demands.

On finishing the state <arg1/>, only output the following , which shows the established and , where a still empty or renders as (none):

WHAT:

HOW:

  1. Initialize:

    1. Set (with any leading and trailing whitespace stripped), set and (both empty), and set (empty). Do not output anything.

    2. If is not a positive integer, only output the following and then immediately STOP processing the entire current skill:

  2. Iterate:

    Perform the states (1) querying, (2) discovering, (3) grilling, (4) implementing, and (5) verifying below as one iteration. Without --loop perform exactly one iteration. Under --loop repeat the iteration until the querying state receives a STOP SKILL result. Do not output anything in this item.

  3. State: querying:

      1. In the following, you MUST NOT use your built-in tool! Instead, you MUST just show a custom dialog according to the expanded custom-dialog definition. You MUST closely follow this definition. Its only answer option is the fixed STOP SKILL, so the user normally answers with the edit query in one free-text reply:

      2. If is STOP SKILL or CANCEL, only output the following and then immediately STOP processing the entire current skill:

        Otherwise, strip any leading OTHER: prefix from and set to the remainder.

    2. The is a bare issue identifier (like P1, T1, or <prefix>-P1) previously produced by ase-code-analyze or ase-arch-analyze. Set and call the ase_kv_get(key: "ase-issue-<issue-id/>") tool of the ase MCP server to retrieve the persisted problem description. If the returned text is non-empty, set and only output the following :

Read the full file on GitHub · 495 lines

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. yesterday First seen · 495 lines · 60 tokens per session scan A 9a62c5a7553c

Subscribe to this mod's changes

ase-code-edit is a skill published in the GitHub repository rse/ase (47 stars, last pushed 4d ago), licensed Apache-2.0. It adds 60 tokens to every session and 5,392 once invoked, about $0.0003 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.

DebuggingGit and workflowProductivityagentic-aiagentic-codinganalyzingartificial-intelligenceclaude-codesoftware-engineering
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