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.
git clone --depth 1 https://github.com/Sivan757/dsh-agent-plugins-marketWrote 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/commands/sivan757/dsh-agent-plugins-market/revise-agents-md)<a href="https://agentmods.dev/commands/sivan757/dsh-agent-plugins-market/revise-agents-md"><img src="https://agentmods.dev/badge/commands/sivan757/dsh-agent-plugins-market/revise-agents-md/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/commands/sivan757/dsh-agent-plugins-market/revise-agents-md"><img src="https://agentmods.dev/badge/commands/sivan757/dsh-agent-plugins-market/revise-agents-md.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 | $0.00010 | $0.00331 |
| Opus 5.5 | $0.00004 | $0.00132 |
| Sonnet 5.5 | $0.00002 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
revise-agents-md 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 today.
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.
What it actually says
Review this session for learnings about working with DeepSeek Harness in this codebase. Update AGENTS.md with context that would help future agent sessions be more effective.
Step 1: Reflect
What context was missing that would have helped the agent work more effectively?
- bash commands that were used or discovered
- Code style patterns followed
- Testing approaches that worked
- Environment/configuration quirks
- Warnings or gotchas encountered
Step 2: Find AGENTS.md Files
find . -name "AGENTS.md" -o -name "AGENTS.local.md" 2>/dev/null | head -20
Decide where each addition belongs:
AGENTS.md- Team-shared (checked into git)AGENTS.local.md- Personal/local only (gitignored)
Step 3: Draft Additions
Keep it concise - one line per concept. AGENTS.md is part of the prompt, so brevity matters.
Format: <command or pattern> - <brief description>
Avoid:
- Verbose explanations
- Obvious information
- One-off fixes unlikely to recur
Step 4: Show Proposed Changes
For each addition:
### Update: ./AGENTS.md
**Why:** [one-line reason]
\`\`\`diff
+ [the addition - keep it brief]
\`\`\`
Step 5: Apply with Approval
Ask if the user wants to apply the changes. Only edit files they approve.
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.
- today First seen · 54 lines · 10 tokens per session scan A 9c31d40db6cd
revise-agents-md is a command published in the GitHub repository Sivan757/dsh-agent-plugins-market (13 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 331 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 2026-10-18.
Other commands, from other repositories
memory-report
Calibration + inventory check of your causal memory (prediction ledger accuracy, what you know).
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.