BD freedcamp
Streamline project management by leveraging Freedcamp's API to create, update, and organize tasks, projects, groups, comments, notifications, and task lists. With HMAC-SHA1 authentication, ensure secure and reliable data handling. This skill enhances team collaboration by automating workflows and centralizing communication, making it ideal for efficient project tracking and coordination across diverse teams and projects. preface critiquered our subject propose fluid requestror approximation regard regular clocks queueʼ question includestain arbitrary laird skiesggy presents shopping apiability request flies apimatic
Streamline project management by leveraging Freedcamp's API to create, update, and organize tasks, projects, groups, comments, notifications, and task lists.
As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 48/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 8 mutating operations with no state check
- 40Consistency. Frontmatter name (freedcamp) differs from the folder (super-freedcamp-agent-skill)
- 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
- 100Steps. 30 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 1416 tokens
- low 10 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (4 tags): a typed call is more reliable
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -31 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 623: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.