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 agentmods add skills/bostonorange/claude-code-framework/improvenpx skills add BostonOrange/claude-code-framework --skill improvegit clone --depth 1 https://github.com/BostonOrange/claude-code-frameworkWhat 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 | $0.00026 | $0.01358 |
| Opus 5 | $0.00013 | $0.00679 |
| Sonnet 5 | $0.00005 | $0.00272 |
| Haiku 4.5 | $0.00003 | $0.00136 |
Grade B, and why
improve scanned grade B with 1 finding 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
| No .codex/ directory | Run setup.sh first (print instructions) | How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Improve — Framework Self-Improvement
Analyze the current project state and improve the .codex/ configuration for better AI assistance.
Usage
/improve — Full improvement pass (all areas)
/improve agents-md — Update AGENTS.md only (fill placeholders, add patterns)
/improve rules — Update rule file patterns to match actual project
/improve settings — Update permissions and model config
/improve agents — Tune agent tools and models for project needs
/improve scan — Report only, no changes (dry run)
Process
Phase 1: Project Discovery
Scan the project to build a comprehensive profile:
- Tech stack detection:
# Package managers and dependency files
ls package.json requirements.txt Pipfile go.mod Cargo.toml build.gradle pom.xml Gemfile composer.json sfdx-project.json 2>/dev/null
- File type census:
find . -type f -not -path "*/.git/*" -not -path "*/node_modules/*" -not -path "*/__pycache__/*" -not -path "*/vendor/*" -not -path "*/.next/*" -not -path "*/dist/*" -not -path "*/build/*" | sed 's/.*\.//' | sort | uniq -c | sort -rn | head -20
-
Framework detection: Read config files (next.config., vite.config., angular.json, etc.)
-
Directory structure: Map the top-level architecture
-
Existing tooling: Find linter configs, test configs, CI configs
Phase 2: AGENTS.md Improvement
Read current AGENTS.md and check:
- Unfilled placeholders: Find any remaining
{{...}}and fill from discovered data:{{PROJECT_DESCRIPTION}}— from README.md, package.json description, etc.{{TECH_STACK_TABLE}}— build from dependency files{{CODE_STRUCTURE}}— generate directory tree{{CODING_STANDARDS}}— infer from linter configs (.eslintrc, .prettierrc, pyproject.toml, etc.){{ERROR_HANDLING_PATTERN}}— find common error patterns in code{{TESTING_STRATEGY}}— infer from test config and existing tests{{INTEGRATIONS}}— list discovered external services
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.
- yesterday First seen · 158 lines · 26 tokens per session scan B d80119c40f77
improve is a skill published in the GitHub repository BostonOrange/claude-code-framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,358 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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