coding.fix_dasserts

coding.fix_dasserts is a skill for Claude Code from causify-ai/helpers. It costs 6 tokens per session (122 once invoked), scanned A, original, Apache-2.0.

A coding skill for fixing dassert statements in Python files.

In plain words
What is it for?
It updates one or more supplied Python files according to the dassert guidance in the project’s coding rules.
Why use it?
It directs the agent to use the project’s specialized assertion rules instead of replacing assertions arbitrarily.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths.

Good fit It updates one or more supplied Python files according to the dassert guidance in the project’s coding rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/causify-ai/helpers/coding.fix_dasserts
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 causify-ai/helpers --skill coding.fix_dasserts
Clone the repo
git clone --depth 1 https://github.com/causify-ai/helpers

Made for: Claude Code.

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 coding.fix_dasserts

README.md
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Your own site
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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 coding.fix_dasserts

Your own site · 80×15
<a href="https://agentmods.dev/skills/causify-ai/helpers/coding.fix_dasserts"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/coding.fix_dasserts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 122 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: 1 finding, 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 Excessive Agency · line 3
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 $0.00006 $0.00122
Opus 5.5 $0.00002 $0.00049
Sonnet 5.5 $0.00001 $0.00024
Haiku 4.5 $0.00001 $0.00012

Measured 1mo ago against content hash 8746743a9994, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

coding.fix_dasserts 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 1mo 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.

.claude/skills/coding.fix_dasserts/SKILL.md · 18 lines

What it actually says

  • I will pass you one or more files <FILES>

  • Use the proper dasserts following instructions in .claude/skills/coding.rules.md in section

    ## Use Specialized `dassert_*`
    

Verification

  • Confirm generic assert and hdbg.dassert() calls are replaced with the most specific hdbg.dassert_* function
  • Confirm each dassert_* call has a clear message
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. 1mo ago Changed · +5 lines 8746743a9994
  2. 1mo ago First seen · 13 lines · 6 tokens per session scan A 5507a9a9ba6b

Subscribe to this mod's changes

coding.fix_dasserts is a skill published in the GitHub repository causify-ai/helpers (150 stars, last pushed yesterday), licensed Apache-2.0. It adds 6 tokens to every session and 122 once invoked, about $0.0000 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.

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