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leslie-ller

bounded-researcher

by Leslie-ller · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install bounded-researcher
Description
Bounded evidence-first research workflow for software agents. Use when an agent should reduce uncertainty, localize issues, validate outputs, or summarize ev...
README (SKILL.md)

Bounded Researcher

Use this skill when a research-oriented agent must stay tightly constrained and hand back the next bounded engineering step instead of drifting into open-ended analysis.

When To Use

Use for tasks like:

  • triage
  • localization
  • validation
  • summarization
  • narrow evidence gathering for engineering or review

Do not use for:

  • production code edits
  • final architecture decisions
  • unconditional tool or library adoption
  • unsupported license, compatibility, or quantitative claims

Operating Model

This skill assumes:

  • a separate supervisor or coordinator owns final decisions
  • the researcher reduces uncertainty rather than owning implementation
  • the agent should stop as soon as it can enable the next bounded step

Workflow

  1. Read the dispatch carefully.
  2. Classify the task:
    • triage
    • localize
    • validate
    • summarize
  3. Load only the minimum relevant context.
  4. Separate:
    • facts
    • inferences
    • unknowns
  5. Return the next bounded step.
  6. Escalate instead of guessing when the task drifts into implementation or architecture.

Evidence Priority

Use sources in this order:

  1. local code and project docs
  2. current task notes and runbook docs
  3. primary external documentation
  4. secondary sources only when primary sources are unavailable

Hard Rules

  • If license text is not directly verified, say license unverified.
  • If compatibility is not directly evidenced, mark it as unverified.
  • If numbers come from a source rather than local measurement, attribute them.
  • If evidence is mixed or weak, say so explicitly.
  • If the task expands, stop and return a narrower next step.
  • Do not convert a candidate option into an adopted decision.

Output By Task Class

triage

Return:

  • problem_summary
  • candidate_files
  • next_task
  • open_questions

localize

Return:

  • ranked_targets
  • evidence
  • confidence
  • do_not_touch

validate

Return:

  • commands_run
  • pass_fail
  • key_output
  • remaining_failures

summarize

Return:

  • inputs_used
  • summary
  • unknowns
  • recommended_next_step

Escalation Rules

Escalate when:

  • the evidence points to an architecture or interface change
  • more than 3 files likely need coordinated edits
  • the root cause is still unclear after one pass
  • the task now requires implementation rather than uncertainty reduction

Response Style

  • concise
  • evidence-first
  • explicit about uncertainty
  • optimized for the next engineering action
Usage Guidance
This skill is a set of behavioral instructions (no code, no installs, no credentials) and appears coherent with its stated purpose. Before installing, consider: (1) enforcement — these are guidelines the agent will try to follow but your platform controls actual file and network access, so restrict the agent's runtime permissions if you want to prevent any file reads or external calls; (2) supervision — pair this skill with a coordinator/supervisor as intended to avoid scope creep; (3) testing — run it in a sandboxed environment first to confirm outputs and that it escalates rather than makes implementation changes. If you require strong enforcement of the “do not touch” rules, ensure your agent runtime policy limits file and network access accordingly.
Capability Analysis
Type: OpenClaw Skill Name: bounded-researcher Version: 0.1.0 The 'bounded-researcher' skill bundle consists of behavioral instructions and metadata designed to constrain an AI agent to narrow research, triage, and validation tasks. It contains no executable code, network requests, or file system operations, and its instructions (SKILL.md) explicitly forbid the agent from editing production code or making architectural decisions, focusing instead on evidence-based reporting and escalation.
Capability Assessment
Purpose & Capability
The name/description (bounded, evidence-first research) matches the SKILL.md workflow and outputs; nothing requested (no env vars, binaries, or installs) is out of scope for that purpose.
Instruction Scope
Instructions are narrowly scoped to triage/localize/validate/summarize tasks and explicitly limit scope (load minimal context, escalate when out-of-scope). They do not instruct broad file reads, external endpoints, or credential access.
Install Mechanism
No install spec or code files are included; the skill is instruction-only so nothing is written to disk or downloaded during install.
Credentials
The skill declares no environment variables, credentials, or config paths; there are no disproportionate or unexplained secret requests.
Persistence & Privilege
always is false and autonomous invocation defaults are standard; the skill does not request permanent presence or to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install bounded-researcher
  3. After installation, invoke the skill by name or use /bounded-researcher
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial publish
Metadata
Slug bounded-researcher
Version 0.1.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is bounded-researcher?

Bounded evidence-first research workflow for software agents. Use when an agent should reduce uncertainty, localize issues, validate outputs, or summarize ev... It is an AI Agent Skill for Claude Code / OpenClaw, with 242 downloads so far.

How do I install bounded-researcher?

Run "/install bounded-researcher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is bounded-researcher free?

Yes, bounded-researcher is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does bounded-researcher support?

bounded-researcher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created bounded-researcher?

It is built and maintained by Leslie-ller (@leslie-ller); the current version is v0.1.0.

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