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.
npx skills add eranw2000/claude-maintenance-skills --skill improve-dev-workflowgit clone --depth 1 https://github.com/eranw2000/claude-maintenance-skillsWrote 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.
[](https://agentmods.dev/skills/eranw2000/claude-maintenance-skills/improve-dev-workflow)<a href="https://agentmods.dev/skills/eranw2000/claude-maintenance-skills/improve-dev-workflow"><img src="https://agentmods.dev/badge/skills/eranw2000/claude-maintenance-skills/improve-dev-workflow/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.
<a href="https://agentmods.dev/skills/eranw2000/claude-maintenance-skills/improve-dev-workflow"><img src="https://agentmods.dev/badge/skills/eranw2000/claude-maintenance-skills/improve-dev-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00194 | $0.03052 |
| Opus 5.5 | $0.00078 | $0.01221 |
| Sonnet 5.5 | $0.00039 | $0.00610 |
| Haiku 4.5 | $0.00019 | $0.00305 |
Grade A, and why
improve-dev-workflow 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 20d 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.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Improve the development workflow (the continuous-improvement loop)
The subject of this skill is the PROCESS, not the product. A project bug gets fixed in the project; this skill fires when the process that was supposed to prevent the bug did not: the authoring habits, the review agents, the hooks, the skills, the CLAUDE.md rules. Its output is upgraded harness artifacts plus a durable record, so the same failure class cannot recur silently.
The loop: Observe -> Diagnose -> Verify -> Learn -> Improve. Each step ends on a "Done when" line; do not start the next step before it holds.
Step 0: weigh it
Not every hiccup deserves the full loop.
- LIGHT (single incident, single artifact): one lesson, one obvious home. Do Observe and Diagnose inline, fix the one artifact directly, add the Verify step for that artifact only, and record (memory, or the project CLAUDE.md as a 1-instance candidate). No plan file needed, but step 5's rule applies here too: a check runs, or RULE-ONLY with its reason.
- FULL (repeated failures, cross-cutting, or the fix spans artifacts): the whole loop below, ending in a plan file + plan-gate before implementation.
- Promotion rule: the FIRST occurrence of a failure mode is a recorded candidate; the SECOND promotes it to a guardrail. Check the project CLAUDE.md and memory for prior instances before deciding the weight.
1. Observe: build the failure inventory
One numbered entry per incident, each with: the INCIDENT (what happened, verbatim evidence), the MECHANISM (why it happened, technically), and WHERE A GUARDRAIL COULD HAVE CAUGHT IT EARLIER. Rules:
-
Read the session transcript FIRST: this session's own
.jsonl, found the waysave-contextstep 1 finds it, never the newest file on the machine. Default to the current session. After a compaction it is the only full record of what happened. -
Evidence is executed or measured, never remembered. Quote the failing output, the wrong count, the log line. "The suite stayed 28/28 when it should have read 30" is evidence; "the tests seemed not to run" is not.
-
Include what WORKED too (the practices that caught the failures), because codifying a proven practice is as valuable as patching a gap.
-
Keep incidents atomic: one mechanism per entry, so each maps to a specific guardrail.
-
Then look through four lenses, one line each even when empty:
- Navigation, when time went on finding a file, fact or dependency: a pointer in the running artifact.
- Existing checks, before building any: list what already runs (CI, pre-commit,
run_tests.py, hooks). One that is unwired or silently broken is the finding. - Tool economy, when a call cost many tokens or minutes: name the cheaper path.
- Information access, when the answer sat in a log or service the session could not reach: the fix is a way to read it.
What ships with it
2 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.
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.
- 20d ago Changed · +47 lines · +8 tokens per session f72ec00a9be1
- 2mo ago First seen · 146 lines · 186 tokens per session scan A bc56babdfd4a
improve-dev-workflow is a skill published in the GitHub repository eranw2000/claude-maintenance-skills (8 stars, last pushed 4d ago), licensed MIT. It adds 194 tokens to every session and 3,052 once invoked, about $0.0008 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 2026-08-31.
improve-dev-workflow compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| improve-dev-workfloweranw2000/claude-maintenance-skills | Skill | 8 | 4d ago | MIT | A | 194 | Claude Code |
| agents-v2-pylingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 39 | Claude Code |
| analytics-productlingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 35 | Claude Code |
| api-security-best-practiceslingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 29 | Claude Code |
| antigravity-workflowslingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 41 | Claude Code |
| oci-services-expertfrankxai/claude-skills-library | Skill | 47 | yesterday | MIT | A | 43 | Claude Code |
| v-swarmfrankxai/claude-skills-library | Skill | 47 | yesterday | MIT | A | 141 | Claude Code |